• DocumentCode
    531607
  • Title

    Learning a Large Scale of Ontology from Japanese Wikipedia

  • Author

    Tamagawa, Susumu ; Sakurai, Shinya ; Tejima, Takuya ; Morita, Takeshi ; Izumi, N. ; Yamaguchi, Takahira

  • Author_Institution
    Keio Univ., Yokohama, Japan
  • Volume
    1
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    279
  • Lastpage
    286
  • 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 relationships), rdf:type (class-instance relationships), owl:Object/DatatypeProperty (Infobox triples), rdfs:domain (property domains), and skos:altLabel (synonyms). 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.
  • Keywords
    Internet; encyclopaedias; linguistics; ontologies (artificial intelligence); EDR WordNet; Japanese Wikipedia; Japanese WordNet; linguistic ontologies; ontology; ontology learning; wikipedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.177
  • Filename
    5616563