• DocumentCode
    3343594
  • Title

    Anchor Semantics Enabled Ranking Method for Service Discovery and Integration

  • Author

    Luo, Jing ; Li, Ying

  • fYear
    2008
  • fDate
    23-26 Sept. 2008
  • Firstpage
    732
  • Lastpage
    739
  • Abstract
    As Web services proliferate, the discovery and integration of appropriate services will become a challenging task particularly with services that share common similarities and functionalities. To assist requesters to find Web services of interest easily, we need to enhance the present service discovery mechanisms with ranking method. Enlightened by disciplines of Web 2.0, the anchor semantics enabled ranking method is proposed. In this method, the service requestor, as a consumer, can also become the producer to contribute not only the request description but also the usage reputation as part of service description. Based on case study and analogical analysis, we argue that this method improves recall and precise metrics at the same time.
  • Keywords
    Web services; information retrieval; semantic Web; Web service discovery; Web service integration; anchor semantics enabled ranking method; Information retrieval; Laboratories; Large-scale systems; Search engines; Standards development; Standards publication; Variable speed drives; Weather forecasting; Web pages; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services, 2008. ICWS '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3310-0
  • Electronic_ISBN
    978-0-7695-3310-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2008.30
  • Filename
    4670243