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

Autor:	Philip H. P. Nguyen, Ken Kaneiwa
Rok vydání:	2014
Předmět:	Relation (database) Database Computer science business.industry Event (relativity) Inference Type (model theory) Ontology (information science) computer.software_genre Formal relationships Predicate (grammar) Artificial Intelligence Artificial intelligence business computer Semantic Web Natural language processing
Zdroj:	Applied Artificial Intelligence. 28:139-177
ISSN:	1087-6545 0883-9514
DOI:	10.1080/08839514.2014.875682
Popis:	□ 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::37b7e56f02b5ed4f71363d91953209f7 https://doi.org/10.1080/08839514.2014.875682 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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