人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
原著論文
日本語Wikipediaからの大規模オントロジー学習
玉川 奨桜井 慎弥手島 拓也森田 武史和泉 憲明山口 高平
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2010 年 25 巻 5 号 p. 623-636

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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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