• DocumentCode
    2980958
  • Title

    Semantic Web imprecise ontology construction method research

  • Author

    Li, Guanyu ; Han, Guoshuan ; Hu, Xiaomin

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2012
  • fDate
    22-24 June 2012
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontology, the analysis and comparison to related imprecise ontology construction methods are given. By introducing inclusion degree, a novel method of fuzzy and rough ontology construction is proposed to solve the problem of being unilaterally fuzziness-based or roughness-based in current research domain. Finally, the future research direction is discussed.
  • Keywords
    fuzzy set theory; ontologies (artificial intelligence); rough set theory; semantic Web; fuzziness; fuzzy ontology; inclusion degree; rough ontology; roughness; semantic Web imprecise ontology construction method research; Computational modeling; Databases; Laboratories; Manuals; OWL; Ontologies; Semantic Web; fuzzy set; imprecise ontology; inclusion degree; ontology construction; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2007-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2012.6269472
  • Filename
    6269472