• DocumentCode
    3513035
  • Title

    Efficient Service Composition Architecture Using AND/OR Graph

  • Author

    Hui-tong Jia ; Xin Wang

  • Author_Institution
    Dept. of Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    645
  • Lastpage
    648
  • Abstract
    This paper proposes an approach for automated composition of Web services using the And/Or graph and designs a corresponding layered architecture. The composition approach which decomposes tasks into smaller And, Or subtasks in And/Or graph bases on the similarity algorithm to find out optimized solution graph. Additionally, we embed the sequence-and node to support the transition from the And/Or solution graph to executable workflow, and interface node to provide user preferences and correctness inspection during the composition execution. The architecture corresponding to the composition approach above consists of four layers including the knowledge ontology, task template, mediator, and Web service from up to bottom in the order. A motivation example throughout this paper provides a preliminary experimental illustration which clearly shows the benefits of our approach.
  • Keywords
    Web services; graph theory; ontologies (artificial intelligence); optimisation; AND/OR graph; Web service composition architecture; executable workflow; knowledge ontology layer; mediator layer; optimized solution graph; sequence-and node; similarity algorithm; task template layer; user preference; Artificial intelligence; Computer architecture; Computer science; Cost function; Educational institutions; Heuristic algorithms; Intelligent networks; Intelligent systems; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.92
  • Filename
    4683309