• DocumentCode
    3014897
  • Title

    Web Service Community Discovery Based on Spectrum Clustering

  • Author

    Zhang, Xizhe ; Yin, Ying ; Zhang, Mingwei ; Bin Zhang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-14 Dec. 2009
  • Firstpage
    187
  • Lastpage
    191
  • Abstract
    More and more Web services are emerging in the Internet with development of service computing over the past decade. The web service in SOA system naturally forms into some service community during execution process. Mining and analysis Web service community will help design SOA system and support Web service application effectively. This article addresses the problem of how to discovering Web services community formed by closely interactive web services. We propose a novel approach which construct Web service execution network from logs and clustering it using spectrum clustering. Generally, the Web services belong to same cluster have strong relative to same task object and we call it Web service community. The approach has been implemented in an experience system for Web services dynamic composition and mining.
  • Keywords
    Web services; data mining; pattern clustering; software architecture; SOA system; Web service; community mining; service oriented architecture; spectrum clustering; Clustering algorithms; Computational intelligence; Distributed computing; Educational institutions; Information science; Information security; Programming; Service oriented architecture; Web and internet services; Web services; community mining; spectrum clustering; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2009. CIS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5411-2
  • Type

    conf

  • DOI
    10.1109/CIS.2009.162
  • Filename
    5376013