Learning a large scale of ontology from Japanese Wikipedia

Susumu Tamagawa, Shinya Sakurai, Takuya Tejima, Takeshi Morita, Noriaki Izumi, Takahira Yamaguchi

研究成果: Article

2 引用 (Scopus)

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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.

元の言語English
ページ(範囲)623-636
ページ数14
ジャーナルTransactions of the Japanese Society for Artificial Intelligence
25
発行部数5
DOI
出版物ステータスPublished - 2010 8 27

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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