• DocumentCode
    2488222
  • Title

    Representing Fuzzy Information in Ontology Language

  • Author

    Wang, Jinlin ; Zhao, Dexin ; Yu, Qing

  • Author_Institution
    Tianjin Univ., Tianjin
  • fYear
    2007
  • fDate
    23-24 Nov. 2007
  • Firstpage
    48
  • Lastpage
    51
  • Abstract
    Ontologies play a key role in the semantic Web which vision of the Web is as a universal medium for data, information, and knowledge exchange. OWL is the promising ontology language proposed by W3C, which is intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. 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, an instance is show that fuzzy information can be expressed well in the proposed ontology language.
  • Keywords
    computational linguistics; fuzzy logic; fuzzy set theory; ontologies (artificial intelligence); semantic Web; OWL DL; formal syntax; fuzzy information; fuzzy logic; ontology language; semantic Web; Automatic logic units; Computer science; Fuzzy logic; Information technology; Knowledge engineering; Knowledge representation; OWL; Ontologies; Semantic Web; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Convergence, 2007. ISITC 2007. International Symposium on
  • Conference_Location
    Joenju
  • Print_ISBN
    0-7695-3045-1
  • Electronic_ISBN
    978-0-7695-3045-1
  • Type

    conf

  • DOI
    10.1109/ISITC.2007.18
  • Filename
    4410604