Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Original Paper
Learning a Large Scale of Ontology from Japanese Wikipedia
Susumu TamagawaShinya SakuraiTakuya TejimaTakeshi MoritaNoriaki IzumiTakahira Yamaguchi
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2010 Volume 25 Issue 5 Pages 623-636

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Abstract
Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A relationship), rdf:type (class-instance relationship), owl:Object/DatatypeProperty (Infobox triple), rdfs:domain (property domain), and skos:altLabel (synonym). Experimental case studies show us that the learned Japanese Wikipedia Ontology goes better than already existing general linguistic ontologies, such as EDR and Japanese WordNet, from the points of building costs and structure information richness.
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© 2010 JSAI (The Japanese Society for Artificial Intelligence)
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