EVENT INFERENCE WITH RELATION AND META-RELATION TYPE HIERARCHIES IN CONCEPTUAL STRUCTURE THEORY

□ This article proposes a method to perform automated inference from event assertions through the use of an ontology formalized under Conceptual Structure Theory. An upper event ontology is first presented as an example of how the ontology is built and how real-life event assertions and their relati...

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Bibliographic Details
Published inApplied artificial intelligence Vol. 28; no. 2; pp. 139 - 177
Main Authors Nguyen, Philip H. P., Kaneiwa, Ken
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis Group 07.02.2014
Taylor & Francis Ltd
Subjects
Artificial intelligence
Automated
Automation
Classification
Discourse analysis
Expert systems
Hierarchies
Inference
Ontology
Search engines
Semantic web
Semantics
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Summary:□ This article proposes a method to perform automated inference from event assertions through the use of an ontology formalized under Conceptual Structure Theory. An upper event ontology is first presented as an example of how the ontology is built and how real-life event assertions and their relations are modeled into its hierarchies of type. Three different types are distinguished: an event type as a basic classification of events of similar nature, an event relation type as a predicate on event types, and an event meta-relation type as a "predicate of predicates" on event types, with formal relationships between them and their properties elicited. The proposed formalization could be leveraged by search engines on the Semantic Web and query-answering systems in specific domains of discourse.
Bibliography:ObjectType-Article-2
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ISSN:0883-9514
1087-6545
DOI:10.1080/08839514.2014.875682