• DocumentCode
    2174103
  • Title

    Research on Fuzzy Semantic Service Matchmaking

  • Author

    Zhao, Dexin ; Feng, Zhiyong ; Zhang, Degan

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The traditional syntactic service matchmaking is lack of semantic information with machine understandable, so it can not achieve intelligent service discovery. In this paper, the fuzzy nature of matchmaking is considered, and the conceptions of linguistic variables in fuzzy logics are introduced into service matchmaker. The matchmaking linguistic variables and the fuzzy relationship matrix are defined, and conjunction degree of fuzzy key words sets is proposed to solve the semantic match problem between service description and service request. The research provides a new valuable way for studying intelligent service discovery.
  • Keywords
    Web services; fuzzy logic; fuzzy set theory; semantic Web; Web service; fuzzy key words sets; fuzzy logics; fuzzy relationship matrix; fuzzy semantic service matchmaking; intelligent service discovery; matchmaking linguistic variables; semantic Web; semantic match problem; service description; service request; syntactic service matchmaking; Computer vision; Fuzzy logic; Fuzzy sets; Intelligent networks; Laboratories; Machine intelligence; Natural languages; Semantic Web; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5304784
  • Filename
    5304784