• DocumentCode
    2916746
  • Title

    Ranked Web Service Matching for Service Description Using OWL-S

  • Author

    Pan, Shan-Liang ; Zhang, Ying-Xin

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Ningbo Univ., Ningbo, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    427
  • Lastpage
    431
  • Abstract
    The Web-services stack of standards is designed to support the reuse and interoperation of software components on the Web. Semantic Web services envision the automated discovery and selection of Web services. The discovery and selection process finds matches between requirements and advertisements according to their semantic description. There are already some approaches available for matching of service requirements with service advertisements. We propose a ranked approach of Web service matching that complements logic based reasoning with approximate matching, which ranks the matching degree of service descriptions according to OWL-S. Our service matching method is based on Latent Semantic Indexing and a logic based reasoning. Contrary to mechanisms that return only success or fail, ranked results provide criteria for the selection of a service among a large set of results.
  • Keywords
    Web services; inference mechanisms; ontologies (artificial intelligence); semantic Web; OWL-S; automated discovery; latent semantic indexing; logic based reasoning; ranked Web service matching; semantic Web services; service descriptions; software component interoperation; Computer science; Indexing; Information systems; Large scale integration; Logic; Ontologies; Semantic Web; Service oriented architecture; Software standards; Web services; LSI; Semantic Web Service; Service Matcher;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.93
  • Filename
    5369400