Representation and Management of Narrative Information [electronic resource] : Theoretical Principles and Implementation /
Zarri, Gian Piero.author.
A big amount of important, economically relevant information, is buried within the huge mass of multimedia documents that correspond to some form of 'narrative' description. Due to the ubiquity of these narrative resources, representing in a general, accurate, and effective way their semantic content - i.e., their key 'meaning' - is then both conceptually relevant and economically important. This book presents the main properties of NKRL ('Narrative Knowledge Representation Language'), a language expressly designed for representing and managing, in a standardised way, the meaning of complex multimedia narrative documents. NKRL is a fully implemented language/environment that exists in two versions: a relational database-supported version and a file-oriented one. It constitutes probably the most complete and realistic effort realised so far to deal with the huge industrial potentialities of the narrative domain. Written from a multidisciplinary perspective, this book not only supplies an exhaustive description of NKRL and of the associated knowledge representation principles, it also constitutes an invaluable source of reference for practitioners, researchers and graduates in domains that range over narrative theories, linguistics and computational linguistics, artificial intelligence, knowledge bases, information retrieval, ontologies and the semantic Web.
Description based upon print version of record.
""Advanced Information and Knowledge Processing""; ""Contents""; ""Preface""; ""Basic Principles""; ""Narrative Information in an NKRL Context""; ""Narratology and NKRL""; ""â€?â€?Fictionalâ€?â€? and â€?â€?Nonfictionalâ€?â€? Narratives""; ""Informal Definition of an NKRL â€?â€?Narrativeâ€?â€?""; ""The Notion of â€?â€?Eventâ€?â€? in an NKRL Context""; ""A Kimian-like Analysis""; ""A Davidsonian-like Analysis""; ""Final Notes on the Linguistic Theories about â€?â€?Eventsâ€?â€?""; ""Knowledge Representation and NKRL""; ""â€?â€?Standardâ€?â€? Ontologies and the â€?â€?n-aryâ€?â€? Problem""
""Introducing the n-ary Problem""""The W3C Suggestions""; ""A Plain â€?â€?n-aryâ€?â€? Solution and Some Related Problems""; ""Previous n-ary Conceptual Realizations""; ""Possible Problems Affecting Existing n-ary Solutions""; ""In the Guise of Winding Up""; ""The Knowledge Representation Strategy""; ""Architecture of NKRL: the Four â€?â€?Componentsâ€?â€?""; ""The Data Structures of the Four Components""; ""Definitional/Enumerative Data Structures""; ""General Principles of the HClass â€?â€?Framesâ€?â€?""; ""Prototype Slots""; ""Categories of Properties""
""â€?â€?Relation-typeâ€?â€? Properties""""â€?â€?Attribute-typeâ€?â€? Properties""; ""â€?â€?Procedure-typeâ€?â€? Properties""; ""NKRL Instances (Individuals)""; ""Descriptive/Factual Data Structures""; ""General Format of the Descriptive/Factual Structures""; ""Semantic Predicates, Roles, Templates and Occurrences""; ""Semantic Predicates as Primitives""; ""Introducing the NKRL Roles""; ""The NKRL Templates and the â€?â€?Catalogueâ€?â€?""; ""Deriving a Predicative Occurrence from a Template""; ""Structured Arguments and the AECS Sub-language""; ""The AECS Sub-language""
""Determiners (Attributes)""""Modulators""; ""Temporal Modulators""; ""Deontic Modulators""; ""Modal Modulators""; ""Concurrent Utilization of Several Modulators""; ""Locations""; ""Temporal Determiners (Attributes)""; ""NKRL, Timestamps and Intervals""; ""Categories and Perspectives""; ""Second-order Structures""; ""The Completive Construction""; ""Binding Occurrences""; ""The Binding Operators""; ""Priority Rule and Generalization to Templates""; ""Correspondence between â€?â€?Expansionâ€?â€? and â€?â€?Bindingâ€?â€? Operators""; ""Using Template Labels within Binding Structures""
""Binding Operators and Temporal Representation""""In the Guise of Winding Up""; ""The Semantic and Ontological Contents""; ""The Organization of the HClass Hierarchy""; ""General Notions about Ontologies""; ""Ontologies, Taxonomies, and Concepts""; ""The Semantic Web Solutions""; ""A Quick Reminder of some OWL, etc. Features""; ""Some General Remarks about the Semantic Web Solutions""; ""The Search for a â€?â€?Standard Upper Ontologyâ€?â€?""; ""Recent SUO-like and SUO-oriented Efforts""; ""Some Examples of Upper Level Ontologies""; ""HClass Architecture""; ""Non-sortal Concepts""
""The â€?â€?property_â€?â€? Concepts""
Includes bibliographical references (p. 279-294) and index.
A big amount of important, economically relevant information, is buried within the huge mass of multimedia documents that correspond to some form of 'narrative' description. Due to the ubiquity of these narrative resources, representing in a general, accurate, and effective way their semantic content - i.e., their key 'meaning' - is then both conceptually relevant and economically important. This book presents the main properties of NKRL ('Narrative Knowledge Representation Language'), a language expressly designed for representing and managing, in a standardised way, the meaning of complex multimedia narrative documents. NKRL is a fully implemented language/environment that exists in two versions: a relational database-supported version and a file-oriented one. It constitutes probably the most complete and realistic effort realised so far to deal with the huge industrial potentialities of the narrative domain. Written from a multidisciplinary perspective, this book not only supplies an exhaustive description of NKRL and of the associated knowledge representation principles, it also constitutes an invaluable source of reference for practitioners, researchers and graduates in domains that range over narrative theories, linguistics and computational linguistics, artificial intelligence, knowledge bases, information retrieval, ontologies and the semantic Web.
Business mathematics.
Artificial intelligence.
Computers.
Application software.
Information storage and retrieval.
Natural language processing (Computer science).
Business Mathematics.
Artificial Intelligence.
Models and Principles.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
Natural Language Processing (NLP).
Advanced Information and Knowledge Processing