• DocumentCode
    2436715
  • Title

    AND/OR Tree Search Algorithm in Web Service Composition

  • Author

    Ma, Xiaoning ; Dong, Baotian ; He, Ming

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    23
  • Lastpage
    27
  • Abstract
    Composition of web services has received much interest to support business-to-business or enterprise application integration. Web service composition lets developers combine single services as a composite one to achieve complex goal. It is a highly complex task and already beyond the human capability to deal with the whole process manually, so AI-based approach for automated web service composition has drawn much research attention. AI-based service composition uses some algorithm in Artificial Intelligence, such as AI planning and graph searching. Based on analysis of the limitation of those two approaches, an AND/OR tree-based approach for web service composition is proposed in this paper which is based on Artificial Intelligence. The Input/Output Dependency AND/OR Tree is represented first, and then AND/OR tree search algorithm including basic search algorithm and special algorithm is discussed. With that, an implementation is provided to described whole process when apply AND/OR Tree search algorithm in web service composition field.
  • Keywords
    Web services; artificial intelligence; commerce; trees (mathematics); AND/OR tree search; Web service composition; artificial intelligence; business-to-business; enterprise application integration; graph searching; Application software; Artificial intelligence; Computational intelligence; Computer industry; Computer science; Conferences; Educational institutions; Road transportation; Tree graphs; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.341
  • Filename
    4756727