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  • 标题:Learning a Large Scale of Ontology from Japanese Wikipedia
  • 本地全文:下载
  • 作者:Susumu Tamagawa ; Shinya Sakurai ; Takuya Tejima
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2010
  • 卷号:25
  • 期号:5
  • 页码:623-636
  • DOI:10.1527/tjsai.25.623
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要: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.
  • 关键词:wikipedia ; ontology ; ontology learning
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