• DocumentCode
    1862422
  • Title

    Construction of Fuzzy Ontology-Based Terrorism Event Extraction

  • Author

    Inyaem, Uraiwan ; Meesad, Phayung ; Haruechaiyasak, Choochart ; Tran, Dat

  • Author_Institution
    Fac. of Inf. Technol., King Mongkut´´s Univ. of Technol. North Bangkok, Bangkok, Thailand
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    Fuzzy ontology is based on the concept that each index object is related to every other object in the ontology, with a degree of membership assigned to that relationship based on fuzzy set theory. This paper proposes use cases based on the related process of the terrorism event extraction using fuzzy ontology, especially the terrorism fuzzy ontology construction methodology. The related use cases are represented using the Web Ontology Language (OWL) which is designed to support the representation ontology relation. Additionally, to make the proposed use cases more relevant to implementing the system, the paper presents linguistic variables which serve as a mean of approximate characterization of fuzzy phenomena concepts and also the appropriate characterization of the terrorism fuzzy relations in their properties.
  • Keywords
    fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); terrorism; OWL; Web Ontology Language; fuzzy ontology based terrorism event extraction construction; fuzzy phenomena concepts; fuzzy set theory; linguistic variables; representation ontology relation; terrorism fuzzy relations; Data mining; Educational technology; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Information technology; OWL; Ontologies; Terrorism; Vocabulary; OWL; event extraction; fuzzy ontology; ontology construction; terrorism domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-1-4244-5397-9
  • Electronic_ISBN
    978-1-4244-5398-6
  • Type

    conf

  • DOI
    10.1109/WKDD.2010.113
  • Filename
    5432572