• DocumentCode
    2681907
  • Title

    A Semantically Structured Approach to Service Community Discovery

  • Author

    Zhao, Anping ; Ma, Yan

  • Author_Institution
    Coll. of Comput. & Inf. Sci., Chongqing Normal Univ., Chongqing, China
  • fYear
    2012
  • fDate
    22-24 Oct. 2012
  • Firstpage
    136
  • Lastpage
    142
  • Abstract
    Service community discovery is employed to supply closely related Web services for future Web advanced intelligent application. We proposed a framework to apply a semantically structured approach to the Web service community modelling and discovery. The solution to the problem is to identify Web services of a service community based on both the semantics of the functionality property of Web services and the inherent semantic association dependency among services, which not only leverages the semantic functionality property but also exploits the semantic association relationship between services and operations. The experimental results and analysis shows that the proposed approach is efficient, feasible and practical.
  • Keywords
    Web services; Web advanced intelligent application; Web service community discovery; Web service community modelling; functionality property semantics; semantic association dependency; semantic association relationship; semantically structured approach; Communities; Graphical models; Joints; Markov random fields; Probabilistic logic; Semantics; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2561-5
  • Type

    conf

  • DOI
    10.1109/SKG.2012.10
  • Filename
    6391821