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Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Romantic-era composers (in Paris) include Hector Berlioz, Charles Gounod, Camille Saint-Saëns, Léo Delibes and Jules Massenet, among others.[212] Georges Bizet's Carmen premiered 3 March 1875. Carmen has since become one of the most popular and frequently-performed operas in the classical canon.[231][232] Among the Impressionist composers who created new works for piano, orchestra, opera, chamber music and other musical forms, stand in particular, Claude Debussy, Erik Satie and Maurice Ravel. Several foreign-born composers, such as Frédéric Chopin, Franz Liszt, Jacques Offenbach, Niccolò Paganini, and Igor Stravinsky, established themselves or made significant contributions both with their works and their influence in Paris. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" > <rdf:Description rdf:about="http://duohub.ai/resource/MauriceRavel"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Maurice Ravel</duo:hasName> <duo:hasDescription xml:lang="en">A French Impressionist composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/ImpressionistEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Piano"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Orchestra"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Opera"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/ChamberMusic"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Orchestra"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticTechnique"/> <duo:hasName xml:lang="en">Orchestra</duo:hasName> <duo:hasDescription xml:lang="en">A large instrumental ensemble and form of composition</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ErikSatie"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Erik Satie</duo:hasName> <duo:hasDescription xml:lang="en">A French Impressionist composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/ImpressionistEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Piano"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Orchestra"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Opera"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/ChamberMusic"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeoDelibes"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Léo Delibes</duo:hasName> <duo:hasDescription xml:lang="en">A French Romantic-era composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/IgorStravinsky"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Igor Stravinsky</duo:hasName> <duo:hasDescription xml:lang="en">A Russian-born composer who made significant contributions in Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JacquesOffenbach"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Jacques Offenbach</duo:hasName> <duo:hasDescription xml:lang="en">A German-born French composer who made significant contributions in Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/HectorBerlioz"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Hector Berlioz</duo:hasName> <duo:hasDescription xml:lang="en">A French Romantic-era composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CamilleSaintSaens"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Camille Saint-Saëns</duo:hasName> <duo:hasDescription xml:lang="en">A French Romantic-era composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CharlesGounod"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Charles Gounod</duo:hasName> <duo:hasDescription xml:lang="en">A French Romantic-era composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NiccoloPaganini"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Niccolò Paganini</duo:hasName> <duo:hasDescription xml:lang="en">An Italian violinist, violist, guitarist, and composer who made significant contributions in Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <duo:hasName xml:lang="en">Paris</duo:hasName> <duo:hasDescription xml:lang="en">The capital city of France and a major cultural center during the Romantic era</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FredericChopin"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Frédéric Chopin</duo:hasName> <duo:hasDescription xml:lang="en">A Polish composer and virtuoso pianist who made significant contributions in Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Piano"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticTechnique"/> <duo:hasName xml:lang="en">Piano</duo:hasName> <duo:hasDescription xml:lang="en">A musical instrument and form of composition</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/RomanticEra"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <duo:hasName xml:lang="en">Romantic Era</duo:hasName> <duo:hasDescription xml:lang="en">A period in music history characterized by emotional expression and nationalism</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GeorgesBizet"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Georges Bizet</duo:hasName> <duo:hasDescription xml:lang="en">A French composer known for his opera Carmen</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ClaudeDebussy"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Claude Debussy</duo:hasName> <duo:hasDescription xml:lang="en">A French Impressionist composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/ImpressionistEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Piano"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Orchestra"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/Opera"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/ChamberMusic"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Carmen"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artwork"/> <duo:hasName xml:lang="en">Carmen</duo:hasName> <duo:hasDescription xml:lang="en">One of the most popular and frequently-performed operas in the classical canon</duo:hasDescription> <duo:createdBy rdf:resource="http://duohub.ai/resource/GeorgesBizet"/> <duo:hasCreationDate rdf:datatype="http://www.w3.org/2001/XMLSchema#date">1875-03-03</duo:hasCreationDate> <duo:hasCulturalSignificance xml:lang="en">Highly popular and frequently performed opera in the classical canon</duo:hasCulturalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ImpressionistEra"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <duo:hasName xml:lang="en">Impressionist Era</duo:hasName> <duo:hasDescription xml:lang="en">A period in music history characterized by new works for various musical forms</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JulesMassenet"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Jules Massenet</duo:hasName> <duo:hasDescription xml:lang="en">A French Romantic-era composer</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/RomanticEra"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FranzLiszt"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Franz Liszt</duo:hasName> <duo:hasDescription xml:lang="en">A Hungarian composer and virtuoso pianist who made significant contributions in Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Opera"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticTechnique"/> <duo:hasName xml:lang="en">Opera</duo:hasName> <duo:hasDescription xml:lang="en">A form of theatre in which music is a fundamental component</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ChamberMusic"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticTechnique"/> <duo:hasName xml:lang="en">Chamber Music</duo:hasName> <duo:hasDescription xml:lang="en">Music composed for a small group of instruments</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "141_20241114_003125", "chunk_number": 141 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Early human economies were more likely to be based around gift giving than a bartering system.[92] Early money consisted of commodities; the oldest being in the form of cattle and the most widely used being cowrie shells.[93][94] Money has since evolved into governmental issued coins, paper and electronic money.[95][96] Human study of economics is a social science that looks at how societies distribute scarce resources among different people.[97] There are massive inequalities in the division of wealth among humans; as of 2018 in China, Europe, and the United States, the richest tenth of humans hold more than seven-tenths of those regions' total wealth.[98] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ModernMoney"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicValue"/> <rdfs:label xml:lang="en">Modern Money</rdfs:label> <duo:hasDescription xml:lang="en">Modern forms of money including governmental issued coins, paper, and electronic money.</duo:hasDescription> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/EarlyMoney"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EarlyMoney"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicValue"/> <rdfs:label xml:lang="en">Early Money</rdfs:label> <duo:hasDescription xml:lang="en">Early forms of money consisted of commodities, with cattle being the oldest and cowrie shells being the most widely used.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/Cattle"/> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/CowrieShells"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/UnitedStates"> <rdf:type rdf:resource="http://duohub.ai/cultural/Country"/> <rdfs:label xml:lang="en">United States</rdfs:label> <duo:hasDescription xml:lang="en">A country mentioned in the context of wealth inequality.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/BarteringSystem"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicSystem"/> <rdfs:label xml:lang="en">Bartering System</rdfs:label> <duo:hasDescription xml:lang="en">An economic system based on the exchange of goods or services without using money.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WealthInequality"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicImpact"/> <rdfs:label xml:lang="en">Wealth Inequality</rdfs:label> <duo:hasDescription xml:lang="en">Massive inequalities in the division of wealth among humans, with the richest tenth holding more than seven-tenths of total wealth in China, Europe, and the United States as of 2018.</duo:hasDescription> <duo:hasEconomicContribution rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">70</duo:hasEconomicContribution> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/China"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Europe"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/UnitedStates"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Economics"> <rdf:type rdf:resource="http://duohub.ai/cultural/AcademicStudy"/> <rdfs:label xml:lang="en">Economics</rdfs:label> <duo:hasDescription xml:lang="en">Human study of economics is a social science that looks at how societies distribute scarce resources among different people.</duo:hasDescription> <duo:hasAcademicSignificance rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Study of resource distribution in societies</duo:hasAcademicSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CowrieShells"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicValue"/> <rdfs:label xml:lang="en">Cowrie Shells</rdfs:label> <duo:hasDescription xml:lang="en">The most widely used form of commodity money in early human economies.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/China"> <rdf:type rdf:resource="http://duohub.ai/cultural/Country"/> <rdfs:label xml:lang="en">China</rdfs:label> <duo:hasDescription xml:lang="en">A country mentioned in the context of wealth inequality.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EarlyHumanEconomies"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <rdfs:label xml:lang="en">Early Human Economies</rdfs:label> <duo:hasDescription xml:lang="en">Early human economies were more likely to be based around gift giving than a bartering system.</duo:hasDescription> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/GiftGiving"/> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/BarteringSystem"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Europe"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <rdfs:label xml:lang="en">Europe</rdfs:label> <duo:hasDescription xml:lang="en">A region mentioned in the context of wealth inequality.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GiftGiving"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicSystem"/> <rdfs:label xml:lang="en">Gift Giving</rdfs:label> <duo:hasDescription xml:lang="en">An economic system based on gift giving, prevalent in early human economies.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Cattle"> <rdf:type rdf:resource="http://duohub.ai/cultural/EconomicValue"/> <rdfs:label xml:lang="en">Cattle</rdfs:label> <duo:hasDescription xml:lang="en">The oldest form of commodity money in early human economies.</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "society.txt", "timestamp": "40_20241113_233502", "chunk_number": 40 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Health care and emergency medical service in the City of Paris and its suburbs are provided by the Assistance publique – Hôpitaux de Paris (AP-HP), a public hospital system that employs more than 90,000 people, including practitioners, support personnel, and administrators, in 44 hospitals. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/AssistancePubliqueHopitauxDeParis"> <rdfs:label xml:lang="en">Assistance publique – Hôpitaux de Paris</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/HealthCareService"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/EmergencyMedicalService"/> <ns1:description xml:lang="en">A public hospital system that provides health care and emergency medical services in the City of Paris and its suburbs, employing more than 90,000 people in 44 hospitals.</ns1:description> <ns1:name xml:lang="en">Assistance publique – Hôpitaux de Paris</ns1:name> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/HealthCareService"> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <ns1:description xml:lang="en">The provision of medical care and services to maintain or improve health.</ns1:description> <rdfs:label xml:lang="en">Health Care Service</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CityOfParis"> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/HealthCareService"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/EmergencyMedicalService"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">City of Paris</rdfs:label> <ns1:description xml:lang="en">The capital city of France where health care and emergency medical services are provided.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisSuburbs"> <rdfs:label xml:lang="en">Paris Suburbs</rdfs:label> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/HealthCareService"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/EmergencyMedicalService"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">The areas surrounding the City of Paris where health care and emergency medical services are also provided.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EmergencyMedicalService"> <ns1:description xml:lang="en">The provision of urgent medical care and transportation in emergency situations.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <rdfs:label xml:lang="en">Emergency Medical Service</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "681_20241114_064711", "chunk_number": 681 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Bastian, Adolf (2009), Encyclopædia Britannica Online Anker, Guy (2000) [2000]. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/GuyAnker"> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> <ns1:name xml:lang="en">Guy Anker</ns1:name> <ns1:hasCreatedWork rdf:resource="http://duohub.ai/resource/AnkerWork2000"/> <rdfs:label xml:lang="en">Guy Anker</rdfs:label> <ns1:description xml:lang="en">Guy Anker is mentioned in relation to the year 2000.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/AdolfBastian"> <rdfs:label xml:lang="en">Adolf Bastian</rdfs:label> <ns1:name xml:lang="en">Adolf Bastian</ns1:name> <ns1:hasCreatedWork rdf:resource="http://duohub.ai/resource/EncyclopaediaBritannicaOnlineEntry"/> <ns1:description xml:lang="en">Adolf Bastian is mentioned in the Encyclopædia Britannica Online in 2009.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/AnkerWork2000"> <ns1:description xml:lang="en">A work created by Guy Anker in the year 2000.</ns1:description> <ns1:startDate>2000-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:name xml:lang="en">Anker's Work from 2000</ns1:name> <rdfs:label xml:lang="en">Anker's Work from 2000</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EncyclopaediaBritannicaOnlineEntry"> <rdfs:label xml:lang="en">Encyclopædia Britannica Online Entry</rdfs:label> <ns1:name xml:lang="en">Encyclopædia Britannica Online Entry</ns1:name> <ns1:description xml:lang="en">An entry in the Encyclopædia Britannica Online about Adolf Bastian, published in 2009.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:startDate>2009-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "402_20241114_072956", "chunk_number": 402 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Photography came to occupy a central role in Parisian Surrealist activity, in the works of Man Ray and Maurice Tabard. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ManRay"> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/Photography"/> <ns1:description xml:lang="en">A photographer associated with the Parisian Surrealist movement</ns1:description> <ns1:isPartOfOrganization rdf:resource="http://duohub.ai/resource/ParisianSurrealistMovement"/> <rdfs:label xml:lang="en">Man Ray</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisianSurrealistMovement"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">An artistic and literary movement in Paris that involved photography</ns1:description> <rdfs:label xml:lang="en">Parisian Surrealist Movement</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:description xml:lang="en">The city where the Surrealist movement involving photography took place</ns1:description> <rdfs:label xml:lang="en">Paris</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Photography"> <ns1:description xml:lang="en">A central activity in Parisian Surrealist movement</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <rdfs:label xml:lang="en">Photography</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MauriceTabard"> <rdfs:label xml:lang="en">Maurice Tabard</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> <ns1:isPartOfOrganization rdf:resource="http://duohub.ai/resource/ParisianSurrealistMovement"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/Photography"/> <ns1:description xml:lang="en">A photographer associated with the Parisian Surrealist movement</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "547_20241114_073716", "chunk_number": 547 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> In 2012, around 50% of electricity generated in the Île-de-France came from cogeneration energy plants. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/CogenerationEnergyPlants"> <ns1:description xml:lang="en">Energy plants that produce electricity through cogeneration, accounting for about 50% of electricity generation in Île-de-France in 2012.</ns1:description> <rdfs:label xml:lang="en">Cogeneration Energy Plants</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/IleDeFrance"> <ns1:description xml:lang="en">A region in France where electricity generation data was reported for 2012.</ns1:description> <rdfs:label xml:lang="en">Île-de-France</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ElectricityGeneration2012"> <ns1:ownsObject rdf:resource="http://duohub.ai/resource/CogenerationEnergyPlants"/> <ns1:endDate>2012-12-31"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <ns1:startDate>2012-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <ns1:description xml:lang="en">In 2012, around 50% of electricity generated in the Île-de-France came from cogeneration energy plants.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Experience"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/IleDeFrance"/> <rdfs:label xml:lang="en">Electricity Generation in Île-de-France 2012</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "639_20241114_072917", "chunk_number": 639 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Standard Large Width Standard Wide Color (beta) Automatic Light </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" > </rdf:RDF> </rdf_graph>
{ "source": "h.txt", "timestamp": "2_20241114_110733", "chunk_number": 2 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Suburbs Western Paris in 2016, photographed by a SkySat satellite </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Suburbs"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Suburbs</rdfs:label> <duo:hasName xml:lang="en">Suburbs</duo:hasName> <duo:hasDescription xml:lang="en">Residential areas on the outskirts of a city, likely referring to the suburbs of Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WesternParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Western Paris</rdfs:label> <duo:hasName xml:lang="en">Western Paris</duo:hasName> <duo:hasDescription xml:lang="en">The western part of Paris, as seen in a satellite photograph from 2016</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2016</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">Paris</rdfs:label> <duo:hasName xml:lang="en">Paris</duo:hasName> <duo:hasDescription xml:lang="en">The capital city of France</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WesternParisSatellitePhoto"> <rdf:type rdf:resource="http://duohub.ai/cultural/DigitalRepresentation"/> <rdfs:label xml:lang="en">Western Paris Satellite Photo</rdfs:label> <duo:hasName xml:lang="en">Western Paris Satellite Photo</duo:hasName> <duo:hasDescription xml:lang="en">A satellite photograph of Western Paris taken in 2016</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2016</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/WesternParis"/> <duo:usesTechnology rdf:resource="http://duohub.ai/resource/SkySatSatellite"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SkySatSatellite"> <rdf:type rdf:resource="http://duohub.ai/cultural/Technology"/> <rdfs:label xml:lang="en">SkySat satellite</rdfs:label> <duo:hasName xml:lang="en">SkySat satellite</duo:hasName> <duo:hasDescription xml:lang="en">A satellite used for capturing high-resolution images of Earth</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "79_20241114_000711", "chunk_number": 79 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [118] Paris's disconnect with its suburbs, its lack of suburban transportation, in particular, became all too apparent with the Paris agglomeration's growth. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ParisAgglomeration"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Paris Agglomeration</rdfs:label> <ns1:description xml:lang="en">The urban area of Paris, including the city and its surrounding suburbs, which has experienced growth</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisSuburbs"> <rdfs:label xml:lang="en">Paris Suburbs</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/SuburbanTransportation"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/UrbanDisconnect"/> <ns1:description xml:lang="en">The suburban areas surrounding Paris, experiencing disconnect from the city center</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/UrbanDisconnect"> <ns1:description xml:lang="en">The psychological and physical separation between a city center and its suburbs, as experienced in Paris</ns1:description> <rdfs:label xml:lang="en">Urban Disconnect</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SuburbanTransportation"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">The concept of transportation systems connecting suburbs to the city center, which is lacking in Paris</ns1:description> <rdfs:label xml:lang="en">Suburban Transportation</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/UrbanDisconnect"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/SuburbanTransportation"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> <rdfs:label xml:lang="en">Paris</rdfs:label> <ns1:description xml:lang="en">The capital city of France, experiencing disconnect with its suburbs and lacking suburban transportation</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "286_20241114_073007", "chunk_number": 286 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Victor Hugo The first book printed in France, Epistolae ("Letters"), by Gasparinus de Bergamo (Gasparino da Barzizza), was published in Paris in 1470 by the press established by Johann Heynlin. Since then, Paris has been the centre of the French publishing industry, the home of some of the world's best-known writers and poets, and the setting for many classic works of French literature. Paris did not become the acknowledged capital of French literature until the 17th century, with authors such as Boileau, Corneille, La Fontaine, Molière, Racine, Charles Perrault,[222] several coming from the provinces, as well as the foundation of the Académie française.[223] In the 18th century, the literary life of Paris revolved around the cafés and salons; it was dominated by Voltaire, Jean-Jacques Rousseau, Pierre de Marivaux and Pierre Beaumarchais. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" > <rdf:Description rdf:about="http://duohub.ai/resource/JeanDeLaFontaine"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Jean de La Fontaine</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French fabulist and poet</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CharlesPerrault"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Charles Perrault</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French author and member of the Académie française</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Voltaire"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Voltaire</duo:hasName> <duo:hasDescription xml:lang="en">18th-century French Enlightenment writer, historian, and philosopher</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JeanJacquesRousseau"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Jean-Jacques Rousseau</duo:hasName> <duo:hasDescription xml:lang="en">18th-century Genevan philosopher, writer, and composer</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JohannHeynlin"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Johann Heynlin</duo:hasName> <duo:hasDescription xml:lang="en">Established the press that published the first book printed in France</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FrenchLiterature"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalHeritage"/> <duo:hasName xml:lang="en">French Literature</duo:hasName> <duo:hasDescription xml:lang="en">The body of written works in the French language produced within the geographic and political boundaries of France</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/FrenchLiteraryHistory"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FrenchLiteraryHistory"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalContext"/> <duo:hasName xml:lang="en">French Literary History</duo:hasName> <duo:hasDescription xml:lang="en">The historical development of French literature, particularly centered in Paris</duo:hasDescription> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/SeventeenthCenturyLiteraryParis"/> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/EighteenthCenturyLiteraryParis"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PierreBeaumarchais"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Pierre Beaumarchais</duo:hasName> <duo:hasDescription xml:lang="en">18th-century French polymath, playwright, watchmaker, inventor, musician, diplomat, spy, publisher, horticulturist, arms dealer, satirist, financier, and revolutionary</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SeventeenthCenturyLiteraryParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <duo:hasName xml:lang="en">17th Century Literary Paris</duo:hasName> <duo:hasDescription xml:lang="en">Period when Paris became the acknowledged capital of French literature</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1600</duo:hasYear> <duo:hasHistoricalSignificance xml:lang="en">Paris became the acknowledged capital of French literature</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisianSalons"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <duo:hasName xml:lang="en">Parisian Salons</duo:hasName> <duo:hasDescription xml:lang="en">Centers of literary life in 18th-century Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/EighteenthCenturyLiteraryParis"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/AcademieFrancaise"> <rdf:type rdf:resource="http://duohub.ai/cultural/Institution"/> <duo:hasName xml:lang="en">Académie française</duo:hasName> <duo:hasDescription xml:lang="en">French council for matters pertaining to the French language, founded in the 17th century</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1635</duo:hasYear> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <duo:hasName xml:lang="en">Paris</duo:hasName> <duo:hasDescription xml:lang="en">Capital of France and center of French publishing industry, home to famous writers and poets, and setting for classic French literature works. It became the acknowledged capital of French literature in the 17th century.</duo:hasDescription> <duo:hasCulturalSignificance xml:lang="en">Center of French literature and publishing</duo:hasCulturalSignificance> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/FrenchLiteraryHistory"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PierreCorneille"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Pierre Corneille</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French dramatist</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EighteenthCenturyLiteraryParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <duo:hasName xml:lang="en">18th Century Literary Paris</duo:hasName> <duo:hasDescription xml:lang="en">Period when the literary life of Paris revolved around cafés and salons</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1700</duo:hasYear> <duo:hasHistoricalSignificance xml:lang="en">Literary life revolved around cafés and salons</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PierreDeMarivaux"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Pierre de Marivaux</duo:hasName> <duo:hasDescription xml:lang="en">18th-century French novelist and dramatist</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NicolasBoileau"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Nicolas Boileau</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French writer</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Moliere"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Molière</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French playwright, actor and poet</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JeanRacine"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Jean Racine</duo:hasName> <duo:hasDescription xml:lang="en">17th-century French dramatist</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Epistolae"> <rdf:type rdf:resource="http://duohub.ai/cultural/Publication"/> <duo:hasName xml:lang="en">Epistolae</duo:hasName> <duo:hasDescription xml:lang="en">The first book printed in France, containing letters by Gasparinus de Bergamo</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1470</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:createdBy rdf:resource="http://duohub.ai/resource/GasparinusDeBergamo"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FrenchPublishingIndustry"> <rdf:type rdf:resource="http://duohub.ai/cultural/Industry"/> <duo:hasName xml:lang="en">French Publishing Industry</duo:hasName> <duo:hasDescription xml:lang="en">The publishing industry centered in Paris, France</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GasparinusDeBergamo"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <duo:hasName xml:lang="en">Gasparinus de Bergamo</duo:hasName> <duo:hasDescription xml:lang="en">Also known as Gasparino da Barzizza, author of the first book printed in France</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisianCafes"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <duo:hasName xml:lang="en">Parisian Cafés</duo:hasName> <duo:hasDescription xml:lang="en">Centers of literary life in 18th-century Paris</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/EighteenthCenturyLiteraryParis"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "135_20241114_002802", "chunk_number": 135 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [81] A suburban railway network, the RER (Réseau Express Régional), was built to complement the Métro; the Périphérique expressway encircling the city, was completed in 1973. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:description xml:lang="en">The capital city of France, featuring a comprehensive transport network.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisTransportNetwork"/> <rdfs:label xml:lang="en">Paris</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisTransportNetwork"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Peripherique"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/RER"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Metro"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <ns1:description xml:lang="en">The transportation network of Paris, including the suburban railway network RER, the Métro, and the Périphérique expressway.</ns1:description> <rdfs:label xml:lang="en">Paris Transport Network</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Peripherique"> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <ns1:description xml:lang="en">An expressway encircling the city of Paris, completed in 1973.</ns1:description> <rdfs:label xml:lang="en">Périphérique</rdfs:label> <ns1:endDate>1973-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/RER"> <ns1:name xml:lang="en">Réseau Express Régional</ns1:name> <ns1:description xml:lang="en">A suburban railway network built to complement the Métro in Paris.</ns1:description> <rdfs:label xml:lang="en">RER</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Metro"> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <ns1:description xml:lang="en">The rapid transit metro system in Paris.</ns1:description> <rdfs:label xml:lang="en">Métro</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "140_20241114_064910", "chunk_number": 140 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Form </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/FormAsPrinciple"> <rdf:type rdf:resource="http://duohub.ai/cultural/StyleCharacteristic"/> <rdfs:label xml:lang="en">Form as a Design Principle</rdfs:label> <duo:hasDescription xml:lang="en">Form as a fundamental principle in design and composition, guiding how artists and designers create visual harmony and balance in their works.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Form"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticElement"/> <rdfs:label xml:lang="en">Form</rdfs:label> <duo:hasDescription xml:lang="en">Form is a fundamental element in art and design, referring to the visual structure, shape, or configuration of an artwork or object. It encompasses both two-dimensional and three-dimensional aspects of artistic creation and is essential in conveying meaning and aesthetic value.</duo:hasDescription> <duo:belongsToMovement rdf:resource="http://duohub.ai/resource/VisualArts"/> <duo:hasCulturalSignificance xml:lang="en">Form is a crucial concept in art history and criticism, playing a vital role in the analysis and interpretation of artworks across various cultures and periods.</duo:hasCulturalSignificance> <duo:hasStyleElement rdf:resource="http://duohub.ai/resource/FormAsPrinciple"/> <duo:hasResearchFinding xml:lang="en">Form is a key element in visual perception and plays a significant role in how viewers interpret and engage with artworks.</duo:hasResearchFinding> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FormInArt"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticAnalysis"/> <rdfs:label xml:lang="en">Form in Art</rdfs:label> <duo:hasDescription xml:lang="en">The study and analysis of form in art, examining how artists use shape, structure, and spatial relationships to create visual impact and convey meaning.</duo:hasDescription> <duo:hasArtisticInterpretation xml:lang="en">Form in art can be interpreted as the physical structure of the work, its composition, or the way visual elements are arranged to create a cohesive whole.</duo:hasArtisticInterpretation> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/VisualArts"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtMovement"/> <rdfs:label xml:lang="en">Visual Arts</rdfs:label> <duo:hasDescription xml:lang="en">Visual arts is a broad category of art forms that includes painting, sculpture, photography, and other mediums that primarily focus on creating works that are appreciated through sight.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FormStudy"> <rdf:type rdf:resource="http://duohub.ai/cultural/AcademicStudy"/> <rdfs:label xml:lang="en">Study of Form</rdfs:label> <duo:hasDescription xml:lang="en">Academic and artistic study focused on understanding and analyzing form in various contexts of art and design.</duo:hasDescription> <duo:hasAcademicSignificance xml:lang="en">The study of form is crucial in art education, art history, and critical analysis of artworks.</duo:hasAcademicSignificance> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "chrysler.txt", "timestamp": "9_20241114_005956", "chunk_number": 9 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> A high spire structure with a needle-like termination was designed to surmount the dome. This is 185 feet high and 8 feet square at its base. It was made up of four corner angles, with light angle strut and diagonal members, all told weighing 27 tons. It was manifestly impossible to assemble this structure and hoist it as a unit from the ground, and equally impossible to hoist it in sections and place them as such in their final positions. Besides, it would be more spectacular, for publicity value, to have this cloud-piercing needle appear unexpectedly. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/SpireStructure"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Spire Structure</rdfs:label> <duo:hasDescription xml:lang="en">A high spire structure with a needle-like termination designed to surmount the dome. It is 185 feet high and 8 feet square at its base, made up of four corner angles, with light angle strut and diagonal members, weighing 27 tons in total.</duo:hasDescription> <duo:hasHeight rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">185</duo:hasHeight> <duo:hasDimensions xml:lang="en">8 feet square at its base</duo:hasDimensions> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/AngleStrut"/> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/DiagonalMembers"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/CornerAngles"/> <duo:hasTechnicalSpecification xml:lang="en">Weighing 27 tons</duo:hasTechnicalSpecification> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/AngleStrut"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">Angle Strut</rdfs:label> <duo:hasDescription xml:lang="en">Light angle strut used in the construction of the spire structure.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PublicityStrategy"> <rdf:type rdf:resource="http://duohub.ai/cultural/TechnologyIntegration"/> <rdfs:label xml:lang="en">Publicity Strategy</rdfs:label> <duo:hasDescription xml:lang="en">For publicity value, it would be more spectacular to have this cloud-piercing needle appear unexpectedly.</duo:hasDescription> <duo:hasTechnicalSpecification xml:lang="en">Have the cloud-piercing needle appear unexpectedly</duo:hasTechnicalSpecification> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CornerAngles"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Corner Angles</rdfs:label> <duo:hasDescription xml:lang="en">Four corner angles that make up part of the spire structure.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/DiagonalMembers"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">Diagonal Members</rdfs:label> <duo:hasDescription xml:lang="en">Diagonal members used in the construction of the spire structure.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/AssemblyChallenge"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionTechnique"/> <rdfs:label xml:lang="en">Assembly Challenge</rdfs:label> <duo:hasDescription xml:lang="en">It was manifestly impossible to assemble this structure and hoist it as a unit from the ground, and equally impossible to hoist it in sections and place them as such in their final positions.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SpireConstruction"> <rdf:type rdf:resource="http://duohub.ai/cultural/Construction"/> <rdfs:label xml:lang="en">Spire Construction</rdfs:label> <duo:hasDescription xml:lang="en">The construction process of the spire structure, involving challenges in assembly and hoisting.</duo:hasDescription> <duo:usesStyle rdf:resource="http://duohub.ai/resource/AssemblyChallenge"/> <duo:hasTechnicalSpecification rdf:resource="http://duohub.ai/resource/PublicityStrategy"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "chrysler.txt", "timestamp": "55_20241114_011854", "chunk_number": 55 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [148] These districts were socially mixed at first,[149] but few residents actually owned their homes. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/HomeOwnership"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Home Ownership</rdfs:label> <ns1:description xml:lang="en">The concept of residents owning their homes.</ns1:description> <ns1:intensity>3"^^&lt;http://www.w3.org/2001/XMLSchema#integer&gt;</ns1:intensity> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SocialMixture"> <ns1:intensity>7"^^&lt;http://www.w3.org/2001/XMLSchema#integer&gt;</ns1:intensity> <ns1:description xml:lang="en">The concept of diverse social groups living in the same area.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Social Mixture</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Districts"> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/SocialMixture"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/HomeOwnership"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Districts</rdfs:label> <ns1:description xml:lang="en">These districts were socially mixed at first, but few residents actually owned their homes.</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "290_20241114_073904", "chunk_number": 290 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Unlike vector-based systems that only return semantically similar content, duohub's graph RAG technology can identify and return contextually relevant information that may not share semantic similarities. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/DuohubGraphRAGTechnology"> <rdfs:label xml:lang="en">Duohub Graph RAG Technology</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A technology that can identify and return contextually relevant information that may not share semantic similarities, unlike vector-based systems that only return semantically similar content.</ns1:description> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/SemanticSimilarity"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/ContextualRelevance"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ContextualRelevance"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">The quality of information being pertinent to a given context, even if not semantically similar.</ns1:description> <rdfs:label xml:lang="en">Contextual Relevance</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SemanticSimilarity"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">The degree of likeness between the meanings of words, phrases, or texts.</ns1:description> <rdfs:label xml:lang="en">Semantic Similarity</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/VectorBasedSystems"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">Systems that only return semantically similar content.</ns1:description> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/SemanticSimilarity"/> <rdfs:label xml:lang="en">Vector-based Systems</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "1707a493-da1d-451d-b6e6-ecb9334fadc2.txt", "timestamp": "12_20241114_073531", "chunk_number": 12 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> In response to warping and swelling experienced during its storage during World War II, and to prepare the picture for an exhibit to honour the anniversary of Leonardo's 500th birthday, the Mona Lisa was fitted in 1951 with a flexible oak frame with beech crosspieces. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/LeonardoDaVinci"> <ns1:hasCreatedWork rdf:resource="http://duohub.ai/resource/MonaLisa"/> <rdfs:label xml:lang="en">Leonardo da Vinci</rdfs:label> <ns1:description xml:lang="en">The Italian Renaissance polymath who painted the Mona Lisa.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WarpingAndSwelling"> <rdfs:label xml:lang="en">Warping and Swelling</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Experience"/> <ns1:description xml:lang="en">The physical changes experienced by the Mona Lisa painting during its storage in World War II.</ns1:description> <ns1:endDate>1945-09-02"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <ns1:startDate>1939-09-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WorldWarII"> <rdf:type rdf:resource="http://duohub.ai/ontology#LifeEvent"/> <ns1:endDate>1945-09-02"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <ns1:startDate>1939-09-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <ns1:description xml:lang="en">A global war that lasted from 1939 to 1945, during which the Mona Lisa was stored and experienced warping and swelling.</ns1:description> <rdfs:label xml:lang="en">World War II</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MonaLisa"> <ns1:description xml:lang="en">A famous painting by Leonardo da Vinci that experienced warping and swelling during World War II storage and was fitted with a flexible oak frame with beech crosspieces in 1951 to prepare for an exhibition honoring Leonardo's 500th birthday anniversary.</ns1:description> <rdfs:label xml:lang="en">Mona Lisa</rdfs:label> <ns1:hasExperience rdf:resource="http://duohub.ai/resource/WarpingAndSwelling"/> <ns1:hasExperience rdf:resource="http://duohub.ai/resource/FrameFitting"/> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeonardoAnniversaryExhibition"> <rdfs:label xml:lang="en">Leonardo's 500th Birthday Anniversary Exhibition</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#LifeEvent"/> <ns1:description xml:lang="en">An exhibition held to honor the 500th birthday anniversary of Leonardo da Vinci, for which the Mona Lisa was prepared in 1951.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FrameFitting"> <rdfs:label xml:lang="en">Frame Fitting</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Experience"/> <ns1:description xml:lang="en">The process of fitting the Mona Lisa with a flexible oak frame with beech crosspieces in 1951.</ns1:description> <ns1:startDate>1951-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "0cde3817-0b41-4fef-9d3c-10b2c9f7c253.txt", "timestamp": "156_20241114_064824", "chunk_number": 156 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [124][125] Government ministries are located in various parts of the city, many near the Hôtel Matignon. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/HotelMatignon"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">A location in Paris near which many government ministries are situated</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Hôtel Matignon</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GovernmentMinistries"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Government Ministries</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:description xml:lang="en">Various government ministries located in different parts of Paris</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:description xml:lang="en">The city where government ministries are located</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Paris</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "228_20241114_073757", "chunk_number": 228 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The École Normale Supérieure, PSL University has remained on rue d'Ulm in the 5th arrondissement. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/5thArrondissement"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">5th Arrondissement</rdfs:label> <ns1:description xml:lang="en">A district in Paris, France, where rue d'Ulm and École Normale Supérieure are located.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PSLUniversity"> <ns1:description xml:lang="en">A university in Paris, France, of which École Normale Supérieure is a part.</ns1:description> <rdfs:label xml:lang="en">PSL University</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/RueDUlm"> <ns1:description xml:lang="en">A street in the 5th arrondissement of Paris, France, where École Normale Supérieure is located.</ns1:description> <rdfs:label xml:lang="en">Rue d'Ulm</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/5thArrondissement"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EcoleNormaleSuperieure"> <rdfs:label xml:lang="en">École Normale Supérieure</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/RueDUlm"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:description xml:lang="en">A prestigious higher education institution in Paris, France, part of PSL University, located on rue d'Ulm in the 5th arrondissement.</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "678_20241114_073505", "chunk_number": 678 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> ^ Jump up to: a b c d "Population estimate as of January 1, 2023 – Series by region, department, sex and age from 1975 to 2023". </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Department"> <ns1:description xml:lang="en">An administrative division used for categorizing population estimates.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Department</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/TimePeriod1975To2023"> <ns1:description xml:lang="en">The time span covering the years from 1975 to 2023 for population estimates.</ns1:description> <rdfs:label xml:lang="en">Time Period 1975 to 2023</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#TimePeriod"/> <ns1:endDate>2023-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <ns1:startDate>1975-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Region"> <ns1:description xml:lang="en">A geographical area used for categorizing population estimates.</ns1:description> <rdfs:label xml:lang="en">Region</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Sex"> <ns1:description xml:lang="en">A biological characteristic used for categorizing population estimates.</ns1:description> <rdfs:label xml:lang="en">Sex</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PersonalTrait"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Age"> <rdf:type rdf:resource="http://duohub.ai/ontology#PersonalTrait"/> <rdfs:label xml:lang="en">Age</rdfs:label> <ns1:description xml:lang="en">The length of time a person has lived, used for categorizing population estimates.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PopulationEstimate"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Department"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Region"/> <ns1:hasPersonalTrait rdf:resource="http://duohub.ai/resource/Sex"/> <ns1:hasPersonalTrait rdf:resource="http://duohub.ai/resource/Age"/> <rdfs:label xml:lang="en">Population Estimate</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">A series of population estimates by region, department, sex, and age from 1975 to 2023, with specific focus on the estimate as of January 1, 2023.</ns1:description> <ns1:name xml:lang="en">Population estimate as of January 1, 2023</ns1:name> <ns1:hasExperience rdf:resource="http://duohub.ai/resource/TimePeriod1975To2023"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "697_20241114_064611", "chunk_number": 697 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The lower walls are clad with white brick, interrupted by white-marble bands in a manner similar to a basket weaving. The ground floor exterior is covered in polished black granite from Shastone, while the three floors above it are clad in white marble from Georgia. There are two main entrances, on Lexington Avenue and on 42nd Street, each three floors high with Shastone granite surrounding each proscenium-shaped entryway. At some distance into each main entryway, there are revolving doors "beneath intricately patterned metal and glass screens", designed so as to embody the Art Deco tenet of amplifying the entrance's visual impact. A smaller side entrance on 43rd Street is one story high.[42][33][43] There are storefronts consisting of large Nirosta-steel-framed windows at ground level.[44][33] Office windows penetrate the second through fourth floors.[33] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/42ndStreet"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <rdfs:label xml:lang="en">42nd Street</rdfs:label> <duo:hasDescription xml:lang="en">A street in New York City where one of the main entrances of the Chrysler Building is located.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ChryslerBuilding"> <rdf:type rdf:resource="http://duohub.ai/cultural/Building"/> <rdfs:label xml:lang="en">Chrysler Building</rdfs:label> <duo:hasDescription xml:lang="en">The Chrysler Building is an Art Deco skyscraper in New York City with distinctive architectural features including white brick and marble cladding, polished black granite, and intricately designed entrances.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/WhiteBrick"/> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/WhiteMarble"/> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/BlackGranite"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/LowerWalls"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/GroundFloorExterior"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/UpperFloors"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/MainEntrances"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/SideEntrance"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Storefronts"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/OfficeWindows"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/EntranceDesign"/> <duo:usesStyle rdf:resource="http://duohub.ai/resource/ArtDecoStyle"/> <duo:hasTechnique rdf:resource="http://duohub.ai/resource/BasketWeavePattern"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/LexingtonAvenue"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/42ndStreet"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/43rdStreet"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/UpperFloors"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Upper Floors</rdfs:label> <duo:hasDescription xml:lang="en">The three floors above the ground floor of the Chrysler Building, clad in white marble from Georgia.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/WhiteMarble"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ArtDecoStyle"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticStyle"/> <rdfs:label xml:lang="en">Art Deco Style</rdfs:label> <duo:hasDescription xml:lang="en">The architectural style of the Chrysler Building, characterized by geometric shapes, bold colors, and intricate details.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MainEntrances"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Main Entrances</rdfs:label> <duo:hasDescription xml:lang="en">Two main entrances of the Chrysler Building, located on Lexington Avenue and 42nd Street, each three floors high with Shastone granite surrounding proscenium-shaped entryways and intricately patterned metal and glass screens.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/BlackGranite"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/BasketWeavePattern"> <rdf:type rdf:resource="http://duohub.ai/cultural/ArtisticTechnique"/> <rdfs:label xml:lang="en">Basket Weave Pattern</rdfs:label> <duo:hasDescription xml:lang="en">A decorative pattern used on the lower walls of the Chrysler Building, created by interrupting white brick with white-marble bands.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GroundFloorExterior"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Ground Floor Exterior</rdfs:label> <duo:hasDescription xml:lang="en">The ground floor exterior of the Chrysler Building, covered in polished black granite from Shastone.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/BlackGranite"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LexingtonAvenue"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <rdfs:label xml:lang="en">Lexington Avenue</rdfs:label> <duo:hasDescription xml:lang="en">A street in New York City where one of the main entrances of the Chrysler Building is located.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Storefronts"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Storefronts</rdfs:label> <duo:hasDescription xml:lang="en">Storefronts at the ground level of the Chrysler Building, consisting of large Nirosta-steel-framed windows.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/NirostaSteel"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EntranceDesign"> <rdf:type rdf:resource="http://duohub.ai/cultural/DesignElement"/> <rdfs:label xml:lang="en">Entrance Design</rdfs:label> <duo:hasDescription xml:lang="en">The design of the Chrysler Building's entrances, featuring intricately patterned metal and glass screens to amplify the visual impact.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SideEntrance"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Side Entrance</rdfs:label> <duo:hasDescription xml:lang="en">A smaller side entrance of the Chrysler Building on 43rd Street, one story high.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LowerWalls"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Lower Walls</rdfs:label> <duo:hasDescription xml:lang="en">The lower walls of the Chrysler Building, clad with white brick and white-marble bands in a basket weaving pattern.</duo:hasDescription> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/WhiteBrick"/> <duo:usesMaterial rdf:resource="http://duohub.ai/resource/WhiteMarble"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WhiteMarble"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">White Marble</rdfs:label> <duo:hasDescription xml:lang="en">White marble from Georgia used to clad the upper floors of the Chrysler Building.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/BlackGranite"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">Black Granite</rdfs:label> <duo:hasDescription xml:lang="en">Polished black granite from Shastone used on the ground floor exterior of the Chrysler Building.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WhiteBrick"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">White Brick</rdfs:label> <duo:hasDescription xml:lang="en">White brick used in the construction of the Chrysler Building's lower walls.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/43rdStreet"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <rdfs:label xml:lang="en">43rd Street</rdfs:label> <duo:hasDescription xml:lang="en">A street in New York City where the smaller side entrance of the Chrysler Building is located.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NirostaSteel"> <rdf:type rdf:resource="http://duohub.ai/cultural/ConstructionMaterial"/> <rdfs:label xml:lang="en">Nirosta Steel</rdfs:label> <duo:hasDescription xml:lang="en">A type of steel used for framing the large windows at the ground level of the Chrysler Building.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/OfficeWindows"> <rdf:type rdf:resource="http://duohub.ai/cultural/StructuralElement"/> <rdfs:label xml:lang="en">Office Windows</rdfs:label> <duo:hasDescription xml:lang="en">Office windows penetrating the second through fourth floors of the Chrysler Building.</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "chrysler.txt", "timestamp": "13_20241114_010128", "chunk_number": 13 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> History A view of the Chrysler Building from the Empire State Building The Chrysler Building from the Empire State Building, both erected as part of New York City's 1920s building boom In the mid-1920s, New York's metropolitan area surpassed London's as the world's most populous metropolitan area[116] and its population exceeded ten million by the early 1930s.[117] The era was characterized by profound social and technological changes. Consumer goods such as radio, cinema, and the automobile became widespread.[118] In 1927, Walter Chrysler's automotive company, the Chrysler Corporation, became the third-largest car manufacturer in the United States, behind Ford and General Motors.[119] The following year, Chrysler was named Time magazine's "Person of the Year".[120][51] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ChryslerBuilding"> <rdf:type rdf:resource="http://duohub.ai/cultural/Building"/> <rdfs:label xml:lang="en">Chrysler Building</rdfs:label> <duo:hasName xml:lang="en">Chrysler Building</duo:hasName> <duo:hasDescription xml:lang="en">An iconic skyscraper in New York City, built during the 1920s building boom.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/NewYorkCity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ChryslerPersonOfTheYear"> <rdf:type rdf:resource="http://duohub.ai/cultural/Event"/> <rdfs:label xml:lang="en">Chrysler Person of the Year</rdfs:label> <duo:hasName xml:lang="en">Chrysler Person of the Year</duo:hasName> <duo:hasDescription xml:lang="en">Walter Chrysler being named Time magazine's Person of the Year in 1928.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1928</duo:hasYear> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EmpireStateBuilding"> <rdf:type rdf:resource="http://duohub.ai/cultural/Building"/> <rdfs:label xml:lang="en">Empire State Building</rdfs:label> <duo:hasName xml:lang="en">Empire State Building</duo:hasName> <duo:hasDescription xml:lang="en">A famous skyscraper in New York City, built during the 1920s building boom.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/NewYorkCity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ChryslerCorporation"> <rdf:type rdf:resource="http://duohub.ai/cultural/Administration"/> <rdfs:label xml:lang="en">Chrysler Corporation</rdfs:label> <duo:hasName xml:lang="en">Chrysler Corporation</duo:hasName> <duo:hasDescription xml:lang="en">An automotive company founded by Walter Chrysler that became the third-largest car manufacturer in the United States by 1927.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1927</duo:hasYear> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Ford"> <rdf:type rdf:resource="http://duohub.ai/cultural/Administration"/> <rdfs:label xml:lang="en">Ford</rdfs:label> <duo:hasName xml:lang="en">Ford</duo:hasName> <duo:hasDescription xml:lang="en">One of the largest car manufacturers in the United States in the 1920s.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/London"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">London</rdfs:label> <duo:hasName xml:lang="en">London</duo:hasName> <duo:hasDescription xml:lang="en">The city that New York surpassed as the world's most populous metropolitan area in the mid-1920s.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WalterChrysler"> <rdf:type rdf:resource="http://duohub.ai/cultural/Person"/> <rdfs:label xml:lang="en">Walter Chrysler</rdfs:label> <duo:hasName xml:lang="en">Walter Chrysler</duo:hasName> <duo:hasDescription xml:lang="en">The founder of the Chrysler Corporation and Time magazine's Person of the Year in 1928.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1928</duo:hasYear> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GeneralMotors"> <rdf:type rdf:resource="http://duohub.ai/cultural/Administration"/> <rdfs:label xml:lang="en">General Motors</rdfs:label> <duo:hasName xml:lang="en">General Motors</duo:hasName> <duo:hasDescription xml:lang="en">One of the largest car manufacturers in the United States in the 1920s.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NewYorkBuildingBoom1920s"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalEvent"/> <rdfs:label xml:lang="en">New York Building Boom 1920s</rdfs:label> <duo:hasName xml:lang="en">New York Building Boom 1920s</duo:hasName> <duo:hasDescription xml:lang="en">A period of significant construction in New York City during the 1920s, including the Chrysler Building and Empire State Building.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1920</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/NewYorkCity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NewYorkCity"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">New York City</rdfs:label> <duo:hasName xml:lang="en">New York City</duo:hasName> <duo:hasDescription xml:lang="en">New York City, known for its 1920s building boom and becoming the world's most populous metropolitan area in the mid-1920s.</duo:hasDescription> <duo:hasPopulation rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">10000000</duo:hasPopulation> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1930</duo:hasYear> <duo:hasPopulationDensity rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">1000</duo:hasPopulationDensity> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/TimeMagazine"> <rdf:type rdf:resource="http://duohub.ai/cultural/Publication"/> <rdfs:label xml:lang="en">Time Magazine</rdfs:label> <duo:hasName xml:lang="en">Time Magazine</duo:hasName> <duo:hasDescription xml:lang="en">A magazine that named Walter Chrysler as Person of the Year in 1928.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/1920sSocialTechnologicalChanges"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <rdfs:label xml:lang="en">1920s Social and Technological Changes</rdfs:label> <duo:hasName xml:lang="en">1920s Social and Technological Changes</duo:hasName> <duo:hasDescription xml:lang="en">An era characterized by profound social and technological changes, including the widespread adoption of consumer goods such as radio, cinema, and the automobile.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1920</duo:hasYear> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "chrysler.txt", "timestamp": "42_20241114_011316", "chunk_number": 42 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> According to Xavier Delamarre, it may derive from the Celtic root pario- ('cauldron'). </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/CelticRootTheory"> <rdf:type rdf:resource="http://duohub.ai/ontology#Belief"/> <rdfs:label xml:lang="en">Celtic Root Theory</rdfs:label> <ns1:description xml:lang="en">A belief that a term may derive from the Celtic root 'pario-' meaning 'cauldron'.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CelticRoot"> <rdfs:label xml:lang="en">Celtic Root</rdfs:label> <ns1:description xml:lang="en">A Celtic linguistic root meaning 'cauldron'.</ns1:description> <ns1:name>pario-"^^&lt;http://www.w3.org/2001/XMLSchema#string&gt;</ns1:name> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/XavierDelamarre"> <ns1:name>Xavier Delamarre"^^&lt;http://www.w3.org/2001/XMLSchema#string&gt;</ns1:name> <rdfs:label xml:lang="en">Xavier Delamarre</rdfs:label> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/CelticRoot"/> <ns1:description xml:lang="en">A person who proposed a theory about the derivation of a term from a Celtic root.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> <ns1:hasBelief rdf:resource="http://duohub.ai/resource/CelticRootTheory"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "45_20241114_072800", "chunk_number": 45 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The World of the Paris Café: Sociability Among the French Working Class, 1789–1914. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdfs:label xml:lang="en">Paris</rdfs:label> <ns1:description xml:lang="en">The capital city of France, serving as the setting for the café culture described in the work</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Sociability"> <rdfs:label xml:lang="en">Sociability</rdfs:label> <ns1:description xml:lang="en">The quality or state of being sociable, particularly in the context of Parisian café culture among the working class</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FrenchWorkingClass"> <rdfs:label xml:lang="en">French Working Class</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/Sociability"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/CafeCulture"/> <ns1:description xml:lang="en">The social group of working-class individuals in France during the late 18th to early 20th centuries</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CafeCulture"> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <rdfs:label xml:lang="en">Café Culture</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/Sociability"/> <ns1:description xml:lang="en">The social practice of gathering in cafés, particularly among the French working class in Paris from 1789 to 1914</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisWorkingClassCafeCulture"> <ns1:startDate>1789-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">The World of the Paris Café: Sociability Among the French Working Class, 1789–1914</rdfs:label> <ns1:endDate>1914-12-31"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <ns1:description xml:lang="en">A work exploring the social culture of Parisian cafés among the French working class from 1789 to 1914</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "1284_20241114_073316", "chunk_number": 1284 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [260] Paris and its close suburbs are home to numerous newspapers, magazines and publications including Le Monde, Le Figaro, Libération, Le Nouvel Observateur, Le Canard enchaîné, La Croix, Le Parisien (in Saint-Ouen), Les Échos, Paris Match (Neuilly-sur-Seine), Réseaux & Télécoms, Reuters France, l'Équipe (Boulogne-Billancourt) and L'Officiel des Spectacles. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ParisSuburbs"> <rdfs:label xml:lang="en">Paris Suburbs</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">Close suburbs of Paris that are home to various publications.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LesEchos"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">Les Échos</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">A French financial daily newspaper published in Paris.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LEquipe"> <rdfs:label xml:lang="en">L'Équipe</rdfs:label> <ns1:description xml:lang="en">A French nationwide daily newspaper devoted to sports, published in Boulogne-Billancourt, a suburb of Paris.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisMatch"> <rdfs:label xml:lang="en">Paris Match</rdfs:label> <ns1:description xml:lang="en">A French weekly news magazine published in Neuilly-sur-Seine, a suburb of Paris.</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ReutersFrance"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Reuters France</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">The French branch of the international news organization Reuters.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeParisien"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> <ns1:description xml:lang="en">A French daily newspaper published in Saint-Ouen, a suburb of Paris.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">Le Parisien</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PublicationScene"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/ParisSuburbs"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">The collective activity of publishing newspapers, magazines, and other publications in Paris and its close suburbs.</ns1:description> <rdfs:label xml:lang="en">Publication Scene</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LOfficielDesSpectacles"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">L'Officiel des Spectacles</rdfs:label> <ns1:description xml:lang="en">A French publication providing information about entertainment and shows in Paris.</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeNouvelObservateur"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Le Nouvel Observateur</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">A French weekly newsmagazine published in Paris.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeCanardEnchaine"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">Le Canard enchaîné</rdfs:label> <ns1:description xml:lang="en">A French satirical weekly newspaper published in Paris.</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LaCroix"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">A French daily newspaper published in Paris.</ns1:description> <rdfs:label xml:lang="en">La Croix</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeFigaro"> <rdfs:label xml:lang="en">Le Figaro</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">A French daily morning newspaper published in Paris.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ReseauxEtTelecoms"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">A French publication focused on networks and telecommunications.</ns1:description> <rdfs:label xml:lang="en">Réseaux &amp; Télécoms</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:description xml:lang="en">Capital city of France and home to numerous newspapers, magazines, and publications.</ns1:description> <rdfs:label xml:lang="en">Paris</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LeMonde"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">Le Monde</rdfs:label> <ns1:description xml:lang="en">A French daily evening newspaper published in Paris.</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Liberation"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <rdfs:label xml:lang="en">Libération</rdfs:label> <ns1:description xml:lang="en">A French daily newspaper published in Paris.</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "551_20241114_064931", "chunk_number": 551 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> "[27] In practice, culture referred to an elite ideal and was associated with such activities as art, classical music, and haute cuisine. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/HauteCuisine"> <rdfs:label xml:lang="en">Haute Cuisine</rdfs:label> <ns1:description xml:lang="en">A cultural activity associated with elite ideals, referring to high-end or elaborate cuisine.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CulturalPractice"> <ns1:description xml:lang="en">The practical application of culture in society.</ns1:description> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/Art"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/HauteCuisine"/> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/ClassicalMusic"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Concept"/> <rdfs:label xml:lang="en">Cultural Practice</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Art"> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <rdfs:label xml:lang="en">Art</rdfs:label> <ns1:description xml:lang="en">A cultural activity associated with elite ideals.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ClassicalMusic"> <rdfs:label xml:lang="en">Classical Music</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <ns1:description xml:lang="en">A cultural activity associated with elite ideals.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Culture"> <rdfs:label xml:lang="en">Culture</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Concept"/> <ns1:description xml:lang="en">An elite ideal associated with activities such as art, classical music, and haute cuisine.</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "101_20241114_072953", "chunk_number": 101 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> In the same census, three departments bordering Paris, Hauts-de-Seine, Seine-Saint-Denis and Val-de-Marne, had population densities of over 10,000 people per square kilometre, ranking among the 10 most densely populated areas of the EU. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Hauts-de-Seine"> <rdfs:label xml:lang="en">Hauts-de-Seine</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">A department bordering Paris with a population density of over 10,000 people per square kilometre.</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EuropeanUnion"> <ns1:description xml:lang="en">An organization mentioned in the context of population density rankings.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <rdfs:label xml:lang="en">European Union</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PopulationDensity"> <ns1:description xml:lang="en">The number of people per unit area, in this case over 10,000 people per square kilometre for the mentioned departments.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Population Density</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Census"> <rdfs:label xml:lang="en">Census</rdfs:label> <ns1:description xml:lang="en">A population count activity that provided the information about the departments' population densities.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdfs:label xml:lang="en">Paris</rdfs:label> <ns1:description xml:lang="en">The capital city of France, mentioned as a reference point for neighboring departments.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Seine-Saint-Denis"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">A department bordering Paris with a population density of over 10,000 people per square kilometre.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Seine-Saint-Denis</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Val-de-Marne"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">A department bordering Paris with a population density of over 10,000 people per square kilometre.</ns1:description> <rdfs:label xml:lang="en">Val-de-Marne</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "316_20241114_064954", "chunk_number": 316 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> As a result, even its earliest history is visible in its streetmap, and centuries of rulers adding their respective architectural marks on the capital has resulted in an accumulated wealth of history-rich monuments and buildings whose beauty plays a large part in giving Paris the reputation it has today. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:hasExperience rdf:resource="http://duohub.ai/resource/ParisArchitecturalEvolution"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">The capital city of France, known for its beauty and historical monuments.</ns1:description> <ns1:ownsObject rdf:resource="http://duohub.ai/resource/ParisStreetMap"/> <rdfs:label xml:lang="en">Paris</rdfs:label> <ns1:hasPersonalTrait rdf:resource="http://duohub.ai/resource/ParisReputation"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisStreetMap"> <rdfs:label xml:lang="en">Paris Street Map</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <ns1:description xml:lang="en">The street map of Paris, which reflects its earliest history.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisArchitecturalEvolution"> <ns1:description xml:lang="en">The accumulated wealth of history-rich monuments and buildings in Paris, resulting from centuries of rulers adding their respective architectural marks on the capital.</ns1:description> <ns1:impactLevel>8"^^&lt;http://www.w3.org/2001/XMLSchema#integer&gt;</ns1:impactLevel> <rdfs:label xml:lang="en">Paris Architectural Evolution</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Experience"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisReputation"> <ns1:importance>9"^^&lt;http://www.w3.org/2001/XMLSchema#integer&gt;</ns1:importance> <rdfs:label xml:lang="en">Paris Reputation</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PersonalTrait"/> <ns1:description xml:lang="en">The reputation of Paris, largely influenced by the beauty of its historical monuments and buildings.</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "253_20241114_064848", "chunk_number": 253 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Another school of thought suggests that war is a relatively recent phenomenon and appeared due to changing social conditions.[100] While not settled, the current evidence suggests warlike behavior only became common about 10,000 years ago, and in many regions even more recently.[100] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/WarlikeBehavior"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <rdfs:label xml:lang="en">Warlike Behavior</rdfs:label> <duo:hasDescription xml:lang="en">Behaviors and practices associated with warfare and conflict</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">10000</duo:hasYear> <duo:belongsToMovement rdf:resource="http://duohub.ai/resource/WarfareEvolution"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PrehistoricPeriod"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalPeriod"/> <rdfs:label xml:lang="en">Prehistoric Period</rdfs:label> <duo:hasDescription xml:lang="en">The period of human history before written records</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SocialConditions"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalContext"/> <rdfs:label xml:lang="en">Social Conditions</rdfs:label> <duo:hasDescription xml:lang="en">The societal circumstances that influenced the emergence of war</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WarOriginTheory"> <rdf:type rdf:resource="http://duohub.ai/cultural/AcademicStudy"/> <rdfs:label xml:lang="en">War Origin Theory</rdfs:label> <duo:hasDescription xml:lang="en">A school of thought suggesting that war is a relatively recent phenomenon appearing due to changing social conditions</duo:hasDescription> <duo:hasResearchFinding xml:lang="en">Current evidence suggests warlike behavior only became common about 10,000 years ago, and in many regions even more recently</duo:hasResearchFinding> <duo:occursInPeriod rdf:resource="http://duohub.ai/resource/PrehistoricPeriod"/> <duo:hasAcademicSignificance xml:lang="en">Challenges traditional views on the antiquity of warfare in human societies</duo:hasAcademicSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WarOriginResearch"> <rdf:type rdf:resource="http://duohub.ai/cultural/Research"/> <rdfs:label xml:lang="en">War Origin Research</rdfs:label> <duo:hasDescription xml:lang="en">Research into the origins and development of warfare in human societies</duo:hasDescription> <duo:hasResearchFinding xml:lang="en">Evidence suggests war became common about 10,000 years ago, with variations across regions</duo:hasResearchFinding> <duo:hasAnalysisResult xml:lang="en">Warlike behavior became common around 10,000 years ago, with regional variations</duo:hasAnalysisResult> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WarfareEvolution"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalContext"/> <rdfs:label xml:lang="en">Warfare Evolution</rdfs:label> <duo:hasDescription xml:lang="en">The historical development and changes in warfare practices over time</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/War"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalEvent"/> <rdfs:label xml:lang="en">War</rdfs:label> <duo:hasDescription xml:lang="en">A phenomenon of organized conflict between groups</duo:hasDescription> <duo:hasHistoricalSignificance xml:lang="en">Believed to have emerged as a common behavior approximately 10,000 years ago</duo:hasHistoricalSignificance> <duo:hasHistoricalContext rdf:resource="http://duohub.ai/resource/SocialConditions"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "society.txt", "timestamp": "42_20241113_233546", "chunk_number": 42 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [305] The Jardin des plantes was the first botanical garden in Paris, created in 1626. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/JardinDesPlantes"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Jardin des plantes</rdfs:label> <ns1:startDate>1626-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <ns1:description xml:lang="en">The first botanical garden in Paris, created in 1626.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/JardinDesPlantes"/> <rdfs:label xml:lang="en">Paris</rdfs:label> <ns1:description xml:lang="en">The capital city of France, where the Jardin des plantes is located.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "654_20241114_073846", "chunk_number": 654 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [114] This ensures that the winning party or coalition always wins a majority of the seats, even if they do not win an absolute majority of the vote. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/AbsoluteMajorityVote"> <ns1:description xml:lang="en">The concept of winning an absolute majority of the vote in an electoral system.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Absolute Majority Vote</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ElectoralSystem"> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/AbsoluteMajorityVote"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/MajoritySeats"/> <ns1:description xml:lang="en">A system that ensures the winning party or coalition always wins a majority of the seats, even if they do not win an absolute majority of the vote.</ns1:description> <rdfs:label xml:lang="en">Electoral System</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MajoritySeats"> <ns1:description xml:lang="en">The concept of winning a majority of seats in an electoral system.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Majority Seats</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "204_20241114_074008", "chunk_number": 204 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Moreover, Herder proposed a collective form of Bildung: "For Herder, Bildung was the totality of experiences that provide a coherent identity, and sense of common destiny, to a people. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/CommonDestiny"> <ns1:description xml:lang="en">A shared sense of future direction and purpose provided by the totality of experiences in Bildung</ns1:description> <rdfs:label xml:lang="en">Common Destiny</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/People"> <rdfs:label xml:lang="en">People</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A collective group that experiences Bildung, developing a coherent identity and sense of common destiny</ns1:description> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/Bildung"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CoherentIdentity"> <ns1:description xml:lang="en">A unified sense of self provided by the totality of experiences in Bildung</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Coherent Identity</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Herder"> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> <ns1:description xml:lang="en">A person who proposed a collective form of Bildung</ns1:description> <rdfs:label xml:lang="en">Herder</rdfs:label> <ns1:hasBelief rdf:resource="http://duohub.ai/resource/CollectiveBildungBelief"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Bildung"> <rdfs:label xml:lang="en">Bildung</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A concept representing the totality of experiences that provide a coherent identity and sense of common destiny to a people</ns1:description> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/CoherentIdentity"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/CommonDestiny"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CollectiveBildungBelief"> <rdf:type rdf:resource="http://duohub.ai/ontology#Belief"/> <rdfs:label xml:lang="en">Collective Bildung Belief</rdfs:label> <ns1:description xml:lang="en">The belief that Bildung is the totality of experiences that provide a coherent identity and sense of common destiny to a people</ns1:description> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "86_20241114_072818", "chunk_number": 86 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> French settlers from La Flèche in the Loire valley first named their new town, founded in 1642, Ville Marie ("City of Mary"),[18] named for the Virgin Mary.[51] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/France"> <rdf:type rdf:resource="http://duohub.ai/cultural/Country"/> <rdfs:label xml:lang="en">France</rdfs:label> <duo:hasName xml:lang="en">France</duo:hasName> <duo:hasDescription xml:lang="en">The country of origin for the settlers who founded Ville Marie (Montreal).</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/VirginMary"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalSymbol"/> <rdfs:label xml:lang="en">Virgin Mary</rdfs:label> <duo:hasName xml:lang="en">Virgin Mary</duo:hasName> <duo:hasDescription xml:lang="en">A religious figure after whom the city of Ville Marie (Montreal) was named.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LoireValley"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <rdfs:label xml:lang="en">Loire Valley</rdfs:label> <duo:hasName xml:lang="en">Loire Valley</duo:hasName> <duo:hasDescription xml:lang="en">A region in France from which the settlers of Ville Marie (Montreal) originated.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/France"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/VilleMarie"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">Ville Marie</rdfs:label> <duo:hasName xml:lang="en">Ville Marie</duo:hasName> <duo:hasDescription xml:lang="en">The original name given to Montreal by French settlers, meaning 'City of Mary' in English. It was founded in 1642 by settlers from La Flèche in the Loire valley.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1642</duo:hasYear> <duo:hasCulturalSignificance xml:lang="en">Named after the Virgin Mary, reflecting the religious influence on the settlement's founding.</duo:hasCulturalSignificance> <duo:hasLocation rdf:resource="http://duohub.ai/resource/France"/> <duo:RepresentsSymbol rdf:resource="http://duohub.ai/resource/VirginMary"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FoundingOfVilleMarie"> <rdf:type rdf:resource="http://duohub.ai/cultural/HistoricalEvent"/> <rdfs:label xml:lang="en">Founding of Ville Marie</rdfs:label> <duo:hasName xml:lang="en">Founding of Ville Marie</duo:hasName> <duo:hasDescription xml:lang="en">The historical event of founding Ville Marie (Montreal) by French settlers in 1642.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1642</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/VilleMarie"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/LaFleche"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">La Flèche</rdfs:label> <duo:hasName xml:lang="en">La Flèche</duo:hasName> <duo:hasDescription xml:lang="en">A city in the Loire valley of France, from which the settlers who founded Ville Marie (Montreal) originated.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/LoireValley"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "mk.txt", "timestamp": "12_20241114_070325", "chunk_number": 12 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Water and sanitation </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/WaterAndSanitation"> <rdf:type rdf:resource="http://duohub.ai/cultural/Infrastructure"/> <rdfs:label xml:lang="en">Water and Sanitation</rdfs:label> <duo:hasDescription xml:lang="en">Essential infrastructure systems for providing clean water and managing waste</duo:hasDescription> <duo:hasName xml:lang="en">Water and Sanitation</duo:hasName> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/WaterSystem"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/SanitationSystem"/> <duo:hasEnvironmentalFootprint xml:lang="en">Significant impact on public health and environmental quality</duo:hasEnvironmentalFootprint> <duo:hasSocialInfluence xml:lang="en">Essential for public health, hygiene, and quality of life</duo:hasSocialInfluence> <duo:hasEconomicContribution rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">100</duo:hasEconomicContribution> <duo:hasAccessibilityLevel xml:lang="en">Varies by region and development level</duo:hasAccessibilityLevel> <duo:hasCulturalRole xml:lang="en">Fundamental to societal development and public welfare</duo:hasCulturalRole> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WaterSystem"> <rdf:type rdf:resource="http://duohub.ai/cultural/Infrastructure"/> <rdfs:label xml:lang="en">Water System</rdfs:label> <duo:hasDescription xml:lang="en">Infrastructure for the supply and distribution of clean water</duo:hasDescription> <duo:hasName xml:lang="en">Water System</duo:hasName> <duo:hasTechnicalSpecification xml:lang="en">System for water supply and distribution</duo:hasTechnicalSpecification> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SanitationSystem"> <rdf:type rdf:resource="http://duohub.ai/cultural/Infrastructure"/> <rdfs:label xml:lang="en">Sanitation System</rdfs:label> <duo:hasDescription xml:lang="en">Infrastructure for the management and treatment of waste and sewage</duo:hasDescription> <duo:hasName xml:lang="en">Sanitation System</duo:hasName> <duo:hasTechnicalSpecification xml:lang="en">System for waste management and sewage treatment</duo:hasTechnicalSpecification> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "186_20241114_004905", "chunk_number": 186 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Cultures are externally affected via contact between societies, which may also produce—or inhibit—social shifts and changes in cultural practices. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/SocialShift"> <rdfs:label xml:lang="en">Social Shift</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A change in social attitudes, behaviors, or structures within a society.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Culture"> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A set of shared attitudes, values, goals, and practices that characterizes an institution, organization or group.</ns1:description> <rdfs:label xml:lang="en">Culture</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Society"> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <rdfs:label xml:lang="en">Society</rdfs:label> <ns1:hasExperience rdf:resource="http://duohub.ai/resource/CulturalContact"/> <ns1:description xml:lang="en">An organized group of people with a particular purpose or shared characteristics.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CulturalContact"> <ns1:influenceLevel>5"^^&lt;http://www.w3.org/2001/XMLSchema#integer&gt;</ns1:influenceLevel> <ns1:description xml:lang="en">The interaction or communication between different cultures or societies.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Experience"/> <rdfs:label xml:lang="en">Cultural Contact</rdfs:label> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/CulturalPractice"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CulturalPractice"> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> <ns1:description xml:lang="en">An activity or behavior that is characteristic of a particular culture or society.</ns1:description> <rdfs:label xml:lang="en">Cultural Practice</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "69_20241114_073546", "chunk_number": 69 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The Bercy Arena also hosted the 2017 IIHF World Ice Hockey Championship, together with Cologne, Germany. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Cologne"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Cologne</rdfs:label> <ns1:description xml:lang="en">A city in Germany that co-hosted the 2017 IIHF World Ice Hockey Championship</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Germany"> <ns1:description xml:lang="en">The country where Cologne is located</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Germany</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/IIHFWorldIceHockeyChampionship2017"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Cologne"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/BercyArena"/> <rdfs:label xml:lang="en">2017 IIHF World Ice Hockey Championship</rdfs:label> <ns1:startDate>2017-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <rdf:type rdf:resource="http://duohub.ai/ontology#LifeEvent"/> <ns1:description xml:lang="en">An ice hockey championship event held in 2017</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/BercyArena"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Bercy Arena</rdfs:label> <ns1:description xml:lang="en">An arena that hosted the 2017 IIHF World Ice Hockey Championship</ns1:description> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <ns1:description xml:lang="en">The city where Bercy Arena is located</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Paris</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
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Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Cultural Anthropology Tutorials Archived December 4, 2004, at the Wayback Machine, Behavioral Sciences Department, Palomar College, San Marco, California. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ArchiveEvent"> <rdfs:label xml:lang="en">Archive Event</rdfs:label> <ns1:startDate>2004-12-04"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> <ns1:description xml:lang="en">The event of archiving the Cultural Anthropology Tutorials on the Wayback Machine.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#LifeEvent"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CulturalAnthropologyTutorials"> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <ns1:description xml:lang="en">Educational materials on cultural anthropology archived on December 4, 2004, at the Wayback Machine, created by the Behavioral Sciences Department at Palomar College in San Marco, California.</ns1:description> <rdfs:label xml:lang="en">Cultural Anthropology Tutorials</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PalomarCollege"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/SanMarco"/> <rdfs:label xml:lang="en">Palomar College</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:description xml:lang="en">An educational institution located in San Marco, California, which includes the Behavioral Sciences Department.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SanMarco"> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">A city in California where Palomar College is located.</ns1:description> <rdfs:label xml:lang="en">San Marco</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/California"> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/SanMarco"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">California</rdfs:label> <ns1:description xml:lang="en">A state in the United States where San Marco is located.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/BehavioralSciencesDepartment"> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:hasCreatedWork rdf:resource="http://duohub.ai/resource/CulturalAnthropologyTutorials"/> <ns1:description xml:lang="en">A department at Palomar College responsible for creating Cultural Anthropology Tutorials.</ns1:description> <rdfs:label xml:lang="en">Behavioral Sciences Department</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WaybackMachine"> <ns1:description xml:lang="en">A digital archive that stored the Cultural Anthropology Tutorials on December 4, 2004.</ns1:description> <rdfs:label xml:lang="en">Wayback Machine</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "438_20241114_072938", "chunk_number": 438 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> ISBN 0-313-31937-5 ^ Jump up to: a b Salgueiro, Heliana Angotti (2000). </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/Book_ISBN_0-313-31937-5"> <ns1:name xml:lang="en">Book with ISBN 0-313-31937-5</ns1:name> <rdf:type rdf:resource="http://duohub.ai/ontology#CreativeWork"/> <rdfs:label xml:lang="en">Book with ISBN 0-313-31937-5</rdfs:label> <ns1:description xml:lang="en">A book identified by ISBN 0-313-31937-5, published in 2000 and authored by Heliana Angotti Salgueiro.</ns1:description> <ns1:startDate>2000-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Publication_Year_2000"> <ns1:name xml:lang="en">Publication Year 2000</ns1:name> <ns1:endDate>2000-12-31"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:endDate> <rdf:type rdf:resource="http://duohub.ai/ontology#TimePeriod"/> <rdfs:label xml:lang="en">Publication Year 2000</rdfs:label> <ns1:description xml:lang="en">The year 2000, when the book with ISBN 0-313-31937-5 was published.</ns1:description> <ns1:startDate>2000-01-01"^^&lt;http://www.w3.org/2001/XMLSchema#date&gt;</ns1:startDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Heliana_Angotti_Salgueiro"> <ns1:hasCreatedWork rdf:resource="http://duohub.ai/resource/Book_ISBN_0-313-31937-5"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Person"/> <ns1:description xml:lang="en">An author who published a book in 2000 with ISBN 0-313-31937-5.</ns1:description> <rdfs:label xml:lang="en">Heliana Angotti Salgueiro</rdfs:label> <ns1:name xml:lang="en">Heliana Angotti Salgueiro</ns1:name> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "0cde3817-0b41-4fef-9d3c-10b2c9f7c253.txt", "timestamp": "357_20241114_072915", "chunk_number": 357 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Waterways The Paris region is the most active water transport area in France. Most of the cargo is handled by the Ports of Paris, in facilities located around Paris. The rivers Loire, Rhine, Rhône, Meuse, and Scheldt can be reached by canals connecting with the Seine, which include the Canal Saint-Martin, Canal Saint-Denis, and the Canal de l'Ourcq.[293] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/ParisRegion"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Paris Region</rdfs:label> <duo:hasDescription xml:lang="en">The Paris region is the most active water transport area in France.</duo:hasDescription> <duo:hasTransportSystem rdf:resource="http://duohub.ai/resource/WaterTransportSystem"/> <duo:hasInfrastructure rdf:resource="http://duohub.ai/resource/WaterwayNetwork"/> <duo:hasInfrastructure rdf:resource="http://duohub.ai/resource/PortsOfParis"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WaterTransportSystem"> <rdf:type rdf:resource="http://duohub.ai/cultural/TransportSystem"/> <rdfs:label xml:lang="en">Water Transport System</rdfs:label> <duo:hasDescription xml:lang="en">The water transport system in the Paris region, including rivers and canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Loire"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Loire</rdfs:label> <duo:hasDescription xml:lang="en">A river that can be reached from the Seine through canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Seine"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Seine</rdfs:label> <duo:hasDescription xml:lang="en">The main river in the Paris region, connected to other rivers and canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Meuse"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Meuse</rdfs:label> <duo:hasDescription xml:lang="en">A river that can be reached from the Seine through canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <rdfs:label xml:lang="en">Paris</rdfs:label> <duo:hasDescription xml:lang="en">The capital city of France, around which the Ports of Paris facilities are located.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CanalSaintDenis"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Canal Saint-Denis</rdfs:label> <duo:hasDescription xml:lang="en">A canal connecting the Seine to other rivers.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CanalDeLOurcq"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Canal de l'Ourcq</rdfs:label> <duo:hasDescription xml:lang="en">A canal connecting the Seine to other rivers.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Rhine"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Rhine</rdfs:label> <duo:hasDescription xml:lang="en">A river that can be reached from the Seine through canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Scheldt"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Scheldt</rdfs:label> <duo:hasDescription xml:lang="en">A river that can be reached from the Seine through canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WaterwayNetwork"> <rdf:type rdf:resource="http://duohub.ai/cultural/Infrastructure"/> <rdfs:label xml:lang="en">Waterway Network</rdfs:label> <duo:hasDescription xml:lang="en">The network of rivers and canals in and around the Paris region.</duo:hasDescription> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Seine"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Loire"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Rhine"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Rhone"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Meuse"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/Scheldt"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/CanalSaintMartin"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/CanalSaintDenis"/> <duo:hasStructuralComponent rdf:resource="http://duohub.ai/resource/CanalDeLOurcq"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CanalSaintMartin"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Canal Saint-Martin</rdfs:label> <duo:hasDescription xml:lang="en">A canal connecting the Seine to other rivers.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Rhone"> <rdf:type rdf:resource="http://duohub.ai/cultural/GeographicFeature"/> <rdfs:label xml:lang="en">Rhône</rdfs:label> <duo:hasDescription xml:lang="en">A river that can be reached from the Seine through canals.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PortsOfParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/Infrastructure"/> <rdfs:label xml:lang="en">Ports of Paris</rdfs:label> <duo:hasDescription xml:lang="en">Facilities located around Paris that handle most of the cargo in the water transport system.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "182_20241114_004743", "chunk_number": 182 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The music hall and cabaret are famous Paris institutions. The Moulin Rouge was opened in 1889 and became the birthplace of the dance known as the French Cancan. It helped make famous the singers Mistinguett and Édith Piaf and the painter Toulouse-Lautrec, who made posters for the venue. In 1911, the dance hall Olympia Paris invented the grand staircase as a settling for its shows, competing with its great rival, the Folies Bergère. Its stars in the 1920s included the American singer and dancer Josephine Baker. Later, Olympia Paris presented Dalida, Edith Piaf, Marlene Dietrich, Miles Davis, Judy Garland and the Grateful Dead. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" > <rdf:Description rdf:about="http://duohub.ai/resource/FrenchCancan"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <duo:hasName xml:lang="en">French Cancan</duo:hasName> <duo:hasDescription xml:lang="en">A high-energy dance that became famous at the Moulin Rouge in Paris.</duo:hasDescription> <duo:belongsToMovement rdf:resource="http://duohub.ai/resource/ParisEntertainment"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/GratefulDead"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Grateful Dead</duo:hasName> <duo:hasDescription xml:lang="en">A band that performed at Olympia Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MusicHall"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <duo:hasName xml:lang="en">Music Hall</duo:hasName> <duo:hasDescription xml:lang="en">A type of theatrical entertainment popular in Paris, featuring variety shows and performances.</duo:hasDescription> <duo:belongsToMovement rdf:resource="http://duohub.ai/resource/ParisEntertainment"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FoliesBergere"> <rdf:type rdf:resource="http://duohub.ai/cultural/TouristAttraction"/> <duo:hasName xml:lang="en">Folies Bergère</duo:hasName> <duo:hasDescription xml:lang="en">A major music hall in Paris, rival to the Olympia Paris.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Cabaret"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalPractice"/> <duo:hasName xml:lang="en">Cabaret</duo:hasName> <duo:hasDescription xml:lang="en">A form of entertainment featuring music, comedy, or dance, popular in Paris.</duo:hasDescription> <duo:belongsToMovement rdf:resource="http://duohub.ai/resource/ParisEntertainment"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EdithPiaf"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Édith Piaf</duo:hasName> <duo:hasDescription xml:lang="en">A renowned French singer who gained fame through performances at the Moulin Rouge and later at Olympia Paris.</duo:hasDescription> <duo:hasHistoricalSignificance xml:lang="en">Gained fame through performances at the Moulin Rouge and Olympia Paris</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisEntertainment"> <rdf:type rdf:resource="http://duohub.ai/cultural/Culture"/> <duo:hasName xml:lang="en">Paris Entertainment Culture</duo:hasName> <duo:hasDescription xml:lang="en">The entertainment culture of Paris, including music halls and cabarets, which are famous institutions in the city.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ToulouseLautrec"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Toulouse-Lautrec</duo:hasName> <duo:hasDescription xml:lang="en">A painter who created posters for the Moulin Rouge, contributing to its fame.</duo:hasDescription> <duo:hasHistoricalSignificance xml:lang="en">Created posters for the Moulin Rouge, contributing to its fame</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/OlympiaParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/TouristAttraction"/> <duo:hasName xml:lang="en">Olympia Paris</duo:hasName> <duo:hasDescription xml:lang="en">A famous music hall in Paris that invented the grand staircase as a setting for its shows in 1911.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1911</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:hasHistoricalSignificance xml:lang="en">Invented the grand staircase as a setting for its shows in 1911</duo:hasHistoricalSignificance> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/JosephineBaker"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/Dalida"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/EdithPiaf"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/MarleneDietrich"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/MilesDavis"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/JudyGarland"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/GratefulDead"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MarleneDietrich"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Marlene Dietrich</duo:hasName> <duo:hasDescription xml:lang="en">A singer who performed at Olympia Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JudyGarland"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Judy Garland</duo:hasName> <duo:hasDescription xml:lang="en">A singer who performed at Olympia Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MoulinRouge"> <rdf:type rdf:resource="http://duohub.ai/cultural/TouristAttraction"/> <duo:hasName xml:lang="en">Moulin Rouge</duo:hasName> <duo:hasDescription xml:lang="en">A famous cabaret in Paris, opened in 1889, known as the birthplace of the French Cancan dance.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">1889</duo:hasYear> <duo:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <duo:createdBy rdf:resource="http://duohub.ai/resource/FrenchCancan"/> <duo:hasHistoricalSignificance xml:lang="en">Birthplace of the French Cancan dance</duo:hasHistoricalSignificance> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/Mistinguett"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/EdithPiaf"/> <duo:hasArtisticInfluence rdf:resource="http://duohub.ai/resource/ToulouseLautrec"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Dalida"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Dalida</duo:hasName> <duo:hasDescription xml:lang="en">A singer who performed at Olympia Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <duo:hasName xml:lang="en">Paris</duo:hasName> <duo:hasDescription xml:lang="en">The capital city of France, known for its rich cultural heritage and entertainment venues.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Mistinguett"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Mistinguett</duo:hasName> <duo:hasDescription xml:lang="en">A famous singer who performed at the Moulin Rouge in Paris.</duo:hasDescription> <duo:hasHistoricalSignificance xml:lang="en">Gained fame through performances at the Moulin Rouge</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MilesDavis"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Miles Davis</duo:hasName> <duo:hasDescription xml:lang="en">A musician who performed at Olympia Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/JosephineBaker"> <rdf:type rdf:resource="http://duohub.ai/cultural/Artist"/> <duo:hasName xml:lang="en">Josephine Baker</duo:hasName> <duo:hasDescription xml:lang="en">An American singer and dancer who became a star at the Olympia Paris in the 1920s.</duo:hasDescription> <duo:hasHistoricalSignificance xml:lang="en">Became a star at the Olympia Paris in the 1920s</duo:hasHistoricalSignificance> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "132_20241114_002647", "chunk_number": 132 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [118] It is an administrative structure for co-operation between the City of Paris and its nearest suburbs. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/AdministrativeStructure"> <rdf:type rdf:resource="http://duohub.ai/ontology#Organization"/> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/Paris"/> <ns1:description xml:lang="en">An administrative structure for co-operation between the City of Paris and its nearest suburbs.</ns1:description> <rdfs:label xml:lang="en">Administrative Structure</rdfs:label> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Paris"> <rdfs:label xml:lang="en">City of Paris</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <ns1:description xml:lang="en">The capital city of France and the center of the administrative structure for cooperation with nearby suburbs.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Suburbs"> <ns1:description xml:lang="en">The nearest suburbs of Paris that are part of the administrative cooperation structure.</ns1:description> <rdfs:label xml:lang="en">Paris Suburbs</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "212_20241114_073919", "chunk_number": 212 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [296] A quarter of the city's district heating is to come from a plant in Saint-Ouen-sur-Seine, burning a 50/50-mix of coal and wood pellets. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/HeatingProvision"> <rdfs:label xml:lang="en">Heating Provision</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/SaintOuenSurSeinePlant"/> <ns1:description xml:lang="en">The activity of providing district heating from the Saint-Ouen-sur-Seine plant</ns1:description> <ns1:hasActivity rdf:resource="http://duohub.ai/resource/CityDistrictHeating"/> <rdf:type rdf:resource="http://duohub.ai/ontology#Activity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CoalWoodPelletMix"> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <rdfs:label xml:lang="en">Coal and Wood Pellet Mix</rdfs:label> <ns1:description xml:lang="en">A 50/50 mix of coal and wood pellets used for burning in the heating plant</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CityDistrictHeating"> <ns1:description xml:lang="en">A quarter of the city's district heating system</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Object"/> <rdfs:label xml:lang="en">City District Heating</rdfs:label> <ns1:hasLocation rdf:resource="http://duohub.ai/resource/SaintOuenSurSeinePlant"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/SaintOuenSurSeinePlant"> <ns1:description xml:lang="en">A plant in Saint-Ouen-sur-Seine that provides district heating</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Location"/> <rdfs:label xml:lang="en">Saint-Ouen-sur-Seine Plant</rdfs:label> <ns1:ownsObject rdf:resource="http://duohub.ai/resource/CoalWoodPelletMix"/> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "46a4a05a-b60c-40f7-a114-75a4c96ab92f.txt", "timestamp": "642_20241114_073341", "chunk_number": 642 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The Paris agglomeration's urban sociology is basically that of 19th-century Paris: the wealthy live in the west and southwest, and the middle-to-working classes are in the north and east. The remaining areas are mostly middle-class, dotted with wealthy islands in areas of historical importance, namely Saint-Maur-des-Fossés to the east and Enghien-les-Bains to the north of Paris.[152] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/SaintMaurDesFosses"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">Saint-Maur-des-Fossés</duo:hasName> <duo:hasDescription xml:lang="en">A wealthy area of historical importance to the east of Paris.</duo:hasDescription> <rdfs:subClassOf rdf:resource="http://duohub.ai/resource/WealthyIslands"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/EastOfParis"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisAgglomeration"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">Paris Agglomeration</duo:hasName> <duo:hasDescription xml:lang="en">The urban area of Paris, characterized by a distinct socio-economic distribution of its population.</duo:hasDescription> <duo:hasUrbanSociology rdf:resource="http://duohub.ai/resource/ParisUrbanSociology"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EnghienLesBains"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">Enghien-les-Bains</duo:hasName> <duo:hasDescription xml:lang="en">A wealthy area of historical importance to the north of Paris.</duo:hasDescription> <rdfs:subClassOf rdf:resource="http://duohub.ai/resource/WealthyIslands"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/NorthOfParis"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WealthyIslands"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">Wealthy Islands</duo:hasName> <duo:hasDescription xml:lang="en">Areas of historical importance within the middle-class regions of Paris agglomeration, characterized by wealthy inhabitants.</duo:hasDescription> <duo:hasSocialInfluence rdf:resource="http://duohub.ai/resource/WealthyPopulation"/> <duo:hasHistoricalSignificance xml:lang="en">Areas of historical importance within Paris agglomeration.</duo:hasHistoricalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MiddleClassAreas"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">Middle Class Areas</duo:hasName> <duo:hasDescription xml:lang="en">The remaining areas of Paris agglomeration, predominantly middle-class.</duo:hasDescription> <duo:hasSocialInfluence rdf:resource="http://duohub.ai/resource/MiddleClassPopulation"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NorthAndEastParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">North and East Paris</duo:hasName> <duo:hasDescription xml:lang="en">The northern and eastern areas of Paris agglomeration.</duo:hasDescription> <duo:hasSocialInfluence rdf:resource="http://duohub.ai/resource/MiddleToWorkingClassPopulation"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EastOfParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <duo:hasName xml:lang="en">East of Paris</duo:hasName> <duo:hasDescription xml:lang="en">The area to the east of Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MiddleClassPopulation"> <rdf:type rdf:resource="http://duohub.ai/cultural/SocialImpact"/> <duo:hasName xml:lang="en">Middle Class Population</duo:hasName> <duo:hasDescription xml:lang="en">The middle class inhabitants of Paris agglomeration.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WestAndSouthwestParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <duo:hasName xml:lang="en">West and Southwest Paris</duo:hasName> <duo:hasDescription xml:lang="en">The western and southwestern areas of Paris agglomeration.</duo:hasDescription> <duo:hasSocialInfluence rdf:resource="http://duohub.ai/resource/WealthyPopulation"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/ParisUrbanSociology"> <rdf:type rdf:resource="http://duohub.ai/cultural/SocialImpact"/> <duo:hasName xml:lang="en">Paris Urban Sociology</duo:hasName> <duo:hasDescription xml:lang="en">The urban sociology of Paris agglomeration, reflecting the socio-economic distribution of its population.</duo:hasDescription> <duo:hasCulturalSignificance xml:lang="en">Reflects the historical socio-economic patterns of 19th-century Paris.</duo:hasCulturalSignificance> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/NorthOfParis"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <duo:hasName xml:lang="en">North of Paris</duo:hasName> <duo:hasDescription xml:lang="en">The area to the north of Paris.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MiddleToWorkingClassPopulation"> <rdf:type rdf:resource="http://duohub.ai/cultural/SocialImpact"/> <duo:hasName xml:lang="en">Middle to Working Class Population</duo:hasName> <duo:hasDescription xml:lang="en">The middle to working class inhabitants of Paris agglomeration.</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WealthyPopulation"> <rdf:type rdf:resource="http://duohub.ai/cultural/SocialImpact"/> <duo:hasName xml:lang="en">Wealthy Population</duo:hasName> <duo:hasDescription xml:lang="en">The wealthy inhabitants of Paris agglomeration.</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "paris.txt", "timestamp": "84_20241114_000920", "chunk_number": 84 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> Climate data for Montreal (Montréal–Trudeau International Airport) WMO ID: 71627; coordinates 45°28′N 73°45′W; elevation: 36 m (118 ft); 1991−2020 normals, extremes 1941−present Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Record high humidex 13.5 14.7 28.0 33.8 40.9 45.0 45.8 46.8 42.8 34.1 26.2 18.1 46.8 Record high °C (°F) 13.9 (57.0) 15.1 (59.2) 25.8 (78.4) 30.0 (86.0) 36.6 (97.9) 35.0 (95.0) 36.1 (97.0) 37.6 (99.7) 33.5 (92.3) 28.3 (82.9) 24.3 (75.7) 18.0 (64.4) 37.6 (99.7) Mean daily maximum °C (°F) −5.0 (23.0) −3.4 (25.9) 2.4 (36.3) 11.3 (52.3) 19.4 (66.9) 24.2 (75.6) 26.7 (80.1) 25.7 (78.3) 21.1 (70.0) 13.2 (55.8) 6.1 (43.0) −1.2 (29.8) 11.7 (53.1) Daily mean °C (°F) −9.2 (15.4) −8.0 (17.6) −2.0 (28.4) 6.2 (43.2) 13.9 (57.0) 19.0 (66.2) 21.7 (71.1) 20.6 (69.1) 16.0 (60.8) 8.9 (48.0) 2.3 (36.1) −5.0 (23.0) 7.0 (44.7) Mean daily minimum °C (°F) −13.5 (7.7) −12.4 (9.7) −6.5 (20.3) 1.1 (34.0) 8.3 (46.9) 13.8 (56.8) 16.7 (62.1) 15.6 (60.1) 10.9 (51.6) 4.5 (40.1) −1.7 (28.9) −8.7 (16.3) 2.3 (36.2) Record low °C (°F) −37.8 (−36.0) −33.9 (−29.0) −29.4 (−20.9) −15.0 (5.0) −4.4 (24.1) 0.0 (32.0) 6.1 (43.0) 3.3 (37.9) −2.2 (28.0) −7.2 (19.0) −19.4 (−2.9) −32.4 (−26.3) −37.8 (−36.0) Record low wind chill −49.1 −46.0 −42.9 −26.3 −9.9 0.0 0.0 0.0 −4.8 −11.6 −30.7 −46.0 −49.1 Average precipitation mm (inches) 85.8 (3.38) 65.5 (2.58) 77.2 (3.04) 90.0 (3.54) 85.6 (3.37) 83.6 (3.29) 91.1 (3.59) 93.6 (3.69) 89.2 (3.51) 103.1 (4.06) 84.2 (3.31) 91.9 (3.62) 1,040.8 (40.98) Average rainfall mm (inches) 32.8 (1.29) 16.9 (0.67) 37.3 (1.47) 74.9 (2.95) 85.6 (3.37) 83.6 (3.29) 91.2 (3.59) 93.6 (3.69) 89.2 (3.51) 101.6 (4.00) 67.4 (2.65) 44.2 (1.74) 818.3 (32.22) Average snowfall cm (inches) 52.0 (20.5) 47.1 (18.5) 37.1 (14.6) 14.8 (5.8) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 1.1 (0.4) 16.3 (6.4) 48.2 (19.0) 216.6 (85.2) Average precipitation days (≥ 0.2 mm) 17.1 13.7 13.7 12.4 13.8 12.9 12.8 11.2 11.3 13.5 14.3 16.8 163.5 Average rainy days (≥ 0.2 mm) 4.5 3.8 7.0 11.4 13.7 12.9 12.8 11.2 11.3 13.2 11.1 6.7 119.6 Average snowy days (≥ 0.2 cm) 15.4 12.4 9.0 3.0 0.04 0.0 0.0 0.0 0.0 0.63 4.8 12.8 58.1 Average relative humidity (%) (at 15:00 LST) 68.1 63.0 57.8 50.7 49.8 53.6 55.5 56.1 58.2 61.4 66.4 71.9 59.4 Mean monthly sunshine hours 101.2 127.8 164.3 178.3 228.9 240.3 271.5 246.3 182.2 143.5 83.6 83.6 2,051.3 Percent possible sunshine 35.7 43.7 44.6 44.0 49.6 51.3 57.3 56.3 48.3 42.2 29.2 30.7 44.4 Average ultraviolet index 1 2 3 5 6 7 7 7 5 3 1 1 4 Source: Environment and Climate Change Canada[100][101][102][103][104][105] and Weather Atlas[106] Architecture Main article: Architecture of Montreal </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" > <rdf:Description rdf:about="http://duohub.ai/resource/MontrealTrudeauInternationalAirport"> <rdf:type rdf:resource="http://duohub.ai/cultural/Location"/> <duo:hasName xml:lang="en">Montréal–Trudeau International Airport</duo:hasName> <duo:hasDescription xml:lang="en">Airport in Montreal where climate data is recorded</duo:hasDescription> <duo:hasCoordinates rdf:datatype="http://www.w3.org/2001/XMLSchema#string">45°28′N 73°45′W</duo:hasCoordinates> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealLowestTemperature"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Lowest Temperature</duo:hasName> <duo:hasDescription xml:lang="en">Record low temperature in Montreal of -37.8°C (-36.0°F)</duo:hasDescription> <duo:hasMeasurementValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">-37.8</duo:hasMeasurementValue> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealSunshineHours"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Annual Sunshine Hours</duo:hasName> <duo:hasDescription xml:lang="en">Mean annual sunshine hours in Montreal of 2,051.3 hours</duo:hasDescription> <duo:hasMeasurementValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">2051.3</duo:hasMeasurementValue> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WMO"> <rdf:type rdf:resource="http://duohub.ai/cultural/Administration"/> <duo:hasName xml:lang="en">World Meteorological Organization</duo:hasName> <duo:hasDescription xml:lang="en">Organization responsible for assigning ID to weather stations</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Montreal"> <rdf:type rdf:resource="http://duohub.ai/cultural/City"/> <duo:hasName xml:lang="en">Montreal</duo:hasName> <duo:hasDescription xml:lang="en">A city in Canada with climate data recorded at Montréal–Trudeau International Airport</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MontrealTrudeauInternationalAirport"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealClimateData"> <rdf:type rdf:resource="http://duohub.ai/cultural/Documentation"/> <duo:hasName xml:lang="en">Montreal Climate Data</duo:hasName> <duo:hasDescription xml:lang="en">Climate data for Montreal recorded at Montréal–Trudeau International Airport, including temperature, precipitation, and other meteorological information</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MontrealTrudeauInternationalAirport"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealWeatherStation"> <rdf:type rdf:resource="http://duohub.ai/cultural/MonitoringSystem"/> <duo:hasName xml:lang="en">Montreal Weather Station</duo:hasName> <duo:hasDescription xml:lang="en">Weather station at Montréal–Trudeau International Airport with WMO ID 71627</duo:hasDescription> <duo:hasTechnicalSpecification rdf:datatype="http://www.w3.org/2001/XMLSchema#string">WMO ID: 71627</duo:hasTechnicalSpecification> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MontrealTrudeauInternationalAirport"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealClimateExtremes"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Climate Extremes</duo:hasName> <duo:hasDescription xml:lang="en">Climate extremes for Montreal from 1941 to present</duo:hasDescription> <duo:hasStartDate rdf:datatype="http://www.w3.org/2001/XMLSchema#date">1941-01-01</duo:hasStartDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealAverageSnowfall"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Average Annual Snowfall</duo:hasName> <duo:hasDescription xml:lang="en">Average annual snowfall in Montreal of 216.6 cm (85.2 inches)</duo:hasDescription> <duo:hasMeasurementValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">216.6</duo:hasMeasurementValue> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealHighestTemperature"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Highest Temperature</duo:hasName> <duo:hasDescription xml:lang="en">Record high temperature in Montreal of 37.6°C (99.7°F)</duo:hasDescription> <duo:hasMeasurementValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">37.6</duo:hasMeasurementValue> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealClimateNormals"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Climate Normals</duo:hasName> <duo:hasDescription xml:lang="en">Climate normals for Montreal from 1991-2020</duo:hasDescription> <duo:hasStartDate rdf:datatype="http://www.w3.org/2001/XMLSchema#date">1991-01-01</duo:hasStartDate> <duo:hasEndDate rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-12-31</duo:hasEndDate> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealAveragePrecipitation"> <rdf:type rdf:resource="http://duohub.ai/cultural/Measurement"/> <duo:hasName xml:lang="en">Montreal Average Annual Precipitation</duo:hasName> <duo:hasDescription xml:lang="en">Average annual precipitation in Montreal of 1,040.8 mm (40.98 inches)</duo:hasDescription> <duo:hasMeasurementValue rdf:datatype="http://www.w3.org/2001/XMLSchema#decimal">1040.8</duo:hasMeasurementValue> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MontrealArchitecture"> <rdf:type rdf:resource="http://duohub.ai/cultural/Documentation"/> <duo:hasName xml:lang="en">Architecture of Montreal</duo:hasName> <duo:hasDescription xml:lang="en">Information about the architectural characteristics and history of Montreal</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/WeatherAtlas"> <rdf:type rdf:resource="http://duohub.ai/cultural/Documentation"/> <duo:hasName xml:lang="en">Weather Atlas</duo:hasName> <duo:hasDescription xml:lang="en">Source of weather information for Montreal</duo:hasDescription> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EnvironmentAndClimateChangeCanada"> <rdf:type rdf:resource="http://duohub.ai/cultural/Administration"/> <duo:hasName xml:lang="en">Environment and Climate Change Canada</duo:hasName> <duo:hasDescription xml:lang="en">Canadian government department responsible for coordinating environmental policies and programs</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "mk.txt", "timestamp": "48_20241114_071804", "chunk_number": 48 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> [23] According to this school of thought, each ethnic group has a distinct worldview that is incommensurable with the worldviews of other groups. </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:ns1="http://duohub.ai/ontology#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/EthnicGroupWorldviewTheory"> <rdfs:label xml:lang="en">Ethnic Group Worldview Theory</rdfs:label> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/EthnicGroup"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/Worldview"/> <ns1:hasPsychologicalConcept rdf:resource="http://duohub.ai/resource/Incommensurability"/> <ns1:description xml:lang="en">A school of thought proposing that each ethnic group has a distinct worldview that is incommensurable with the worldviews of other groups.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#Belief"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Worldview"> <rdfs:label xml:lang="en">Worldview</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">A comprehensive conception or image of the universe and of humanity's relation to it.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/Incommensurability"> <rdfs:label xml:lang="en">Incommensurability</rdfs:label> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <ns1:description xml:lang="en">The inability to compare or measure two things against each other due to a lack of common qualities.</ns1:description> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/EthnicGroup"> <ns1:description xml:lang="en">A category of people who identify with each other based on shared attributes that distinguish them from other groups.</ns1:description> <rdf:type rdf:resource="http://duohub.ai/ontology#PsychologicalConcept"/> <rdfs:label xml:lang="en">Ethnic Group</rdfs:label> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "12094f96-5305-4468-a4b0-69f381c84417.txt", "timestamp": "90_20241114_073326", "chunk_number": 90 }
Generate an RDF graph from the following text with as many triples as possible to fully represent the input text: <text> The Plateau Mount Royal borough was a working class francophone area. The largest neighbourhood is the Plateau (not to be confused with the whole borough), which was undergoing considerable gentrification as of 2009,[116] and a 2001 study deemed it as Canada's most creative neighbourhood because artists comprise 8% of its labour force.[117] The neighbourhood of Mile End in the northwestern part of the borough has been a very multicultural area of the city, and features two of Montreal's well-known bagel establishments, St-Viateur Bagel and Fairmount Bagel. The McGill Ghetto is in the extreme southwestern portion of the borough, its name being derived from the fact that it is home to thousands of McGill University students and faculty members.[citation needed] </text>
<rdf_graph> <?xml version="1.0" encoding="utf-8"?> <rdf:RDF xmlns:duo="http://duohub.ai/cultural/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" > <rdf:Description rdf:about="http://duohub.ai/resource/PlateauMountRoyalBorough"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Plateau Mount Royal Borough</rdfs:label> <duo:hasDescription xml:lang="en">The Plateau Mount Royal borough was a working class francophone area, undergoing gentrification as of 2009. It contains several notable neighborhoods including the Plateau, Mile End, and the McGill Ghetto.</duo:hasDescription> <duo:hasCulturalRole xml:lang="en">Working class francophone area</duo:hasCulturalRole> <duo:hasLocation rdf:resource="http://duohub.ai/resource/PlateauNeighborhood"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MileEndNeighborhood"/> <duo:hasLocation rdf:resource="http://duohub.ai/resource/McGillGhetto"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/McGillGhetto"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">McGill Ghetto</rdfs:label> <duo:hasDescription xml:lang="en">Located in the extreme southwestern portion of the Plateau Mount Royal borough, home to thousands of McGill University students and faculty members.</duo:hasDescription> <duo:hasCulturalRole xml:lang="en">University student and faculty residential area</duo:hasCulturalRole> <duo:hasLocation rdf:resource="http://duohub.ai/resource/McGillUniversity"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PlateauGentrification"> <rdf:type rdf:resource="http://duohub.ai/cultural/SocialImpact"/> <rdfs:label xml:lang="en">Plateau Gentrification</rdfs:label> <duo:hasDescription xml:lang="en">The process of gentrification occurring in the Plateau neighbourhood as of 2009.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2009</duo:hasYear> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/CreativityStudy2001"> <rdf:type rdf:resource="http://duohub.ai/cultural/Research"/> <rdfs:label xml:lang="en">2001 Creativity Study</rdfs:label> <duo:hasDescription xml:lang="en">A study conducted in 2001 that deemed the Plateau neighbourhood as Canada's most creative neighbourhood.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2001</duo:hasYear> <duo:hasResearchFinding xml:lang="en">Artists comprise 8% of the Plateau neighbourhood's labour force.</duo:hasResearchFinding> <duo:hasResearchFinding rdf:resource="http://duohub.ai/resource/PlateauNeighborhood"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/FairmountBagel"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalArtifact"/> <rdfs:label xml:lang="en">Fairmount Bagel</rdfs:label> <duo:hasDescription xml:lang="en">One of Montreal's well-known bagel establishments located in Mile End.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MileEndNeighborhood"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/PlateauNeighborhood"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Plateau Neighborhood</rdfs:label> <duo:hasDescription xml:lang="en">The largest neighbourhood in the Plateau Mount Royal borough, undergoing considerable gentrification as of 2009. A 2001 study deemed it as Canada's most creative neighbourhood because artists comprise 8% of its labour force.</duo:hasDescription> <duo:hasYear rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2009</duo:hasYear> <duo:hasCulturalRole xml:lang="en">Canada's most creative neighbourhood</duo:hasCulturalRole> <duo:hasSocialInfluence rdf:resource="http://duohub.ai/resource/PlateauGentrification"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/MileEndNeighborhood"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">Mile End Neighborhood</rdfs:label> <duo:hasDescription xml:lang="en">A very multicultural area in the northwestern part of the Plateau Mount Royal borough, featuring two well-known bagel establishments: St-Viateur Bagel and Fairmount Bagel.</duo:hasDescription> <duo:hasCulturalRole xml:lang="en">Multicultural area</duo:hasCulturalRole> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/StViateurBagel"> <rdf:type rdf:resource="http://duohub.ai/cultural/CulturalArtifact"/> <rdfs:label xml:lang="en">St-Viateur Bagel</rdfs:label> <duo:hasDescription xml:lang="en">One of Montreal's well-known bagel establishments located in Mile End.</duo:hasDescription> <duo:hasLocation rdf:resource="http://duohub.ai/resource/MileEndNeighborhood"/> </rdf:Description> <rdf:Description rdf:about="http://duohub.ai/resource/McGillUniversity"> <rdf:type rdf:resource="http://duohub.ai/cultural/UrbanArea"/> <rdfs:label xml:lang="en">McGill University</rdfs:label> <duo:hasDescription xml:lang="en">A university located near the McGill Ghetto, with many students and faculty members residing in the area.</duo:hasDescription> </rdf:Description> </rdf:RDF> </rdf_graph>
{ "source": "mk.txt", "timestamp": "61_20241114_072251", "chunk_number": 61 }
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