• DocumentCode
    2866431
  • Title

    A Semantic-based Grid Service Discovery and Composition

  • Author

    Chen, Tao ; Zhou, Xiang ; Xiao, Nong

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    527
  • Lastpage
    530
  • Abstract
    Nowadays, most grid service discovery use keyword matching and never describe the matching degree. Meantime, a user´s request cannot be satisfied by any available service, whereas a composite service obtained by combining available services can be used. When each grid service matches a request best, the service composition may not the best process. In order to solve the two problems, this paper presents a quantification standard for semantic service matching and modifies the classical flexible matching algorithm based on OWL-S. Based upon the quantification standard of service matching and OWL-WS, the service composition algorithm finds the process that best satisfies customer need by constructing a mathematical model and converting the problem to the shortest path problem.
  • Keywords
    Web services; data mining; grid computing; ontologies (artificial intelligence); semantic Web; OWL-S; OWL-WS; classical flexible matching algorithm; keyword matching; semantic service matching; semantic-based grid service composition; semantic-based grid service discovery; shortest path problem problem; Concrete; Grid computing; Impedance matching; Inference algorithms; Mathematical model; Plugs; Positron emission tomography; Shortest path problem; Taxonomy; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.141
  • Filename
    4438611