• DocumentCode
    2413379
  • Title

    Imprecise Semantic Web Ontology Model

  • Author

    Huang, Yinghui ; Li, Guanyu

  • Author_Institution
    Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1426
  • Lastpage
    1429
  • Abstract
    The Semantic Web ontology is a partial ordering set of concept used to make information have semantic markedness. The enclosing type and the educing type are the ways of forming a concept in human brain. They are related to the fuzziness and the roughness respectively. The imprecise concept is actually the fuzzy rough concept, but there is no existence of the imprecise partial ordering relation. The Semantic Web ontology is a fuzzy rough concept partial ordering set, namely, a binary pair composed of a fuzzy rough concept set and a kind of partial ordering relation. It could be represented as two types of practical forms: the fuzzy rough concept list and the fuzzy rough concept lattice, the latter has good properties with compactness and exclusiveness, so could be as a base to code a compact and normative OWL document which helps the Semantic Web to come true.
  • Keywords
    fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); rough set theory; semantic Web; compact OWL document; fuzzy rough concept; normative OWL document; partial ordering relation; partial ordering set; semantic Web ontology model; semantic markedness; Approximation methods; Humans; Lattices; OWL; Ontologies; XML; Semantic Web ontology; concept lattice; fuzziness; imprecision; roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.362
  • Filename
    5591531