# A Data Driven Approach for Raw Material Terminology
## 4 Terminology Aggregation and Presentation
### Data Integration Procedure
There are very few such dictionaries in the Serbian language, as most of the published Serbian terminological dictionaries are only translational (bilingual or multilingual). An ongoing activity is the adaptation of English definitions, which are the most comprehensive in DMMRT, to Serbian, in the post-editing phase, where priority is given to the most frequent terms, both in the corpora and in the dictionaries. Finally, candidates are harmonised and assembled to the microstructure of the lexical database Termi, which consists of a headword, synonyms, abbreviations, definition, for each language, bibliographic source and possibility to include illustration and other external content. Term entries in Termi are organised into a hierarchical structure, and additional relations between entries are envisaged, but still not implemented. Automatic hierarchical positioning was based on subdomain and semantic markers, but it is subject to repositioning in the post-editing phase. Information integration beyond the level of individual dictionaries and across the language resource community has become an important concern, and the most promising technology to achieve this goal is to adopt the Linked (Open) Data (LOD) paradigm for publishing lexical resources, that is, to use URIs for unambiguously identifying lexical entries, their components and their relations in the web of data--to make lexical datasets accessible via http(s), to publish them in accordance with W3C-standards such as RDF and SPARQL, and to provide links between lexical data sets and with other LOD resources [46]. In our research we were also aiming at compatibility with the Linked Data approach, using its set of design principles for sharing machine-readable interlinked data on the Web. This vision of globally accessible and linked data on the internet is based on RDF standards of the semantic web, using RDF serialisation for data representation. To that end, our approach envisages export of lexical database data in RDF that is compliant with the _The OntoLex Lemon Lexicography Module_[47], lexicog [48], as an extension of Lexicon Model for Ontologies (lemon) [49; 50]. This is also in line with activities within NexusLinguarum COST action [51], which promotes synergies across Europe between linguists, computer scientists, terminologists, language professionals, and other stakeholders in industry and society, in order to investigate and extend the area of linguistic data science. An example of RDF export is presented in Figure 4 followed by the Turtle RDF Syntax [52] to illustrate the use of the model. :fossil_fuel a ontolex:LexicalEntry; dct:language <[[http://lexv.org/id/iso639-1/en](http://lexv.org/id/iso639-1/en)]([http://lexv.org/id/iso639-1/en](http://lexv.org/id/iso639-1/en))> ; lexinfo:partOfSpeech lexinfo:noun; ontolex:lexicalForm :fossil_fuel-form; ontolex:sense :fossil_fuel_sense. :fossil_fuel-form :ontolex:Form; ontolex:writtenRep \"fossil fuel\"@en. :fossil_fuel_sense skos:definition \"coal, oil, gas, oil sands or oil shale\"@en; ontolex:reference <[[https://dbpedia.org/page/Fossil_fuel](https://dbpedia.org/page/Fossil_fuel)]([https://dbpedia.org/page/Fossil_fuel](https://dbpedia.org/page/Fossil_fuel))>; ontolex:reference <[[https://www.wikidata.org/wiki/Q12748](https://www.wikidata.org/wiki/Q12748)]([https://www.wikidata.org/wiki/Q12748](https://www.wikidata.org/wiki/Q12748))>; ontolex:reference <[[http://eurovoc.europa.eu/6045](http://eurovoc.europa.eu/6045)]([http://eurovoc.europa.eu/6045](http://eurovoc.europa.eu/6045))>. :fossilmo_gorivo a ontolex:LexicalEntry; dct:language <[[http://id.loc.gov/vocabulary/iso639-1/sr](http://id.loc.gov/vocabulary/iso639-1/sr)]([http://id.loc.gov/vocabulary/iso639-1/sr](http://id.loc.gov/vocabulary/iso639-1/sr))> ; lexinfo:partOfSpeech lexinfo:noun; ontolex:lexicalForm :fosilmo_gorivo-form; ontolex:sense :fosilmo_gorivo_sense.