• DocumentCode
    2767668
  • Title

    Automatic Domain Ontology Construction Based on Thesauri

  • Author

    Sun, Weicong ; Jia, Meiying ; Zheng, Dequan ; Cao, Hongqiang ; Yang, Bingru ; Yu, Hao

  • Author_Institution
    MOE-MS Key Lab. of Natural Language Process. & Speech, Harbin Inst. of Technol., Harbin, China
  • Volume
    7
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    415
  • Lastpage
    418
  • Abstract
    The research on the automatic ontology construction has become very popular. It is very useful for the ontology construction to reengineer the existing knowledge resource, such as the thesauri. But many relationships in the thesauri are incorrect or are defined too broadly. Accordingly, extracting ontological relations from the thesauri becomes very important. This paper proposes the method to reengineer the thesauri to ontology, and especially the method to how to obtain the correct semantic relations. The test result shows the accuracy of the semantic relations is86.23%, and one is the hierarchical relations with 89.02%, and the other is non-hierarchical relations with 83.44%.
  • Keywords
    ontologies (artificial intelligence); thesauri; automatic domain ontology construction; hierarchical relations; knowledge resource reengineering; ontological relation extraction; semantic relations; thesauri; Fuzzy systems; Graphics; Knowledge engineering; Laboratories; Logic; Natural language processing; Ontologies; Speech processing; Terminology; Thesauri; automatic ontology construction; ontology; semantic relations; thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.111
  • Filename
    5360043