• DocumentCode
    230068
  • Title

    Fuzzy ontologies: The state of the art

  • Author

    Cross, V.V.

  • Author_Institution
    Comput. Sci. & Software Eng. Dept., Miami Univ., Oxford, OH, USA
  • fYear
    2014
  • fDate
    24-26 June 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Ontologies play a central role in the Semantic Web. Much research has focused on extending ontologies and Semantic Web technologies to handle uncertain information. This paper provides a review of recent approaches for extending ontologies to fuzzy ontologies. Some approaches have been developed for application specific purposes, for example for information retrieval and search on the Semantic Web and are not formally relying on current Semantic Web technologies such as standard web ontology languages and tools such as ontology editors or reasoners. Other approaches emphasize developing methods to extend Semantic Web standard technologies with fuzzy logic and fuzzy reasoning.
  • Keywords
    fuzzy logic; fuzzy reasoning; fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); semantic Web; uncertainty handling; application specific purpose; fuzzy logic; fuzzy ontology; fuzzy reasoning; information retrieval; information search; ontology editors; ontology reasoners; semantic Web technology; standard Web ontology languages; uncertain information; Cognition; Context; Lattices; OWL; Ontologies; Standards; OWL; Semantic Web; fuzzy logic; ontologies; ontology tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NORBERT.2014.6893867
  • Filename
    6893867