• DocumentCode
    2428239
  • Title

    Integrate Fuzzy Logic into SLN

  • Author

    Ren, Ke ; Huang, ZhiXing ; Zhao, Anping ; Qiu, Yuhui

  • Author_Institution
    Semantic Grid Lab., Southwest Univ. Chongqing, Chongqing, China
  • fYear
    2011
  • fDate
    24-26 Oct. 2011
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.
  • Keywords
    fuzzy logic; fuzzy set theory; inference mechanisms; semantic Web; SLN; fuzzy logic; fuzzy reasoning rules; fuzzy semantic association degree; fuzzy semantic link network; fuzzy semantic relations; network resource management; semantic data model; Cognition; Compounds; Data models; Databases; Object oriented modeling; Semantics; Uncertainty; Fuzzy; SLN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics Knowledge and Grid (SKG), 2011 Seventh International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-1323-1
  • Type

    conf

  • DOI
    10.1109/SKG.2011.15
  • Filename
    6088103