• DocumentCode
    2426470
  • Title

    A Fuzzy Extension of OWL for Vague Knowledge

  • Author

    Zhao, Dexin ; Feng, Zhiyong ; Yu, Qing ; Xu, Guangquan

  • Author_Institution
    Tianjin Univ., Tianjin
  • Volume
    4
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    312
  • Lastpage
    316
  • Abstract
    OWL web ontology language is an official W3C recommendation in ontology language that has recently been developed by the W3C. Although OWL has a powerful expressive ability on knowledge, it has no capability to represent the uncertainty and imprecise information. In the context of Semantic Web and multimedia applications, concepts are rather vague than precise and there are increasing needs to deal with vague knowledge. This paper proposes an extension of OWL DL with fuzzy logic by giving the formal syntax and semantics. The feature of the extension is that it has the ability of capture the vague concepts with the defined modifying operators.
  • Keywords
    fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); semantic Web; description logic; fuzzy logic; multimedia application; official W3C recommendation; ontology Web language; semantic Web; vague knowledge; Automatic logic units; Computer science; Fuzzy logic; Fuzzy set theory; Humans; Knowledge representation; OWL; Ontologies; Semantic Web; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.34
  • Filename
    4406403