• DocumentCode
    3150555
  • Title

    Automating Web Service Composition for Collaborative Business Processes

  • Author

    Lei, Lihui ; Duan, Zhenhua

  • Author_Institution
    Xidian Univ., Xi´´an
  • fYear
    2007
  • fDate
    26-28 April 2007
  • Firstpage
    894
  • Lastpage
    899
  • Abstract
    An approach to automating Web service composition is proposed in this paper. Firstly, the required service is regarded as a process-based workflow created according to the client requirement and represented with extended deterministic finite automata (EDFA). Secondly, the approach searches useful atomic processes based on the parameters processed by the required services. Finally, a conditional tableau algorithm of Description Logic is used to compose these atomic processes. The input provided by the client and these atomic processes found in the previous step are represented with description logic formulas; if there is a model that satisfies the conjunction of these formulas, this model is transformed into an EDFA to extract the composite Web service with the semantics-based intersection of EDFAs. This approach sufficiently employs the existing web services and accurately extracts the composite Web service satisfying the client requirement.
  • Keywords
    Web services; business data processing; deterministic automata; formal logic; groupware; workflow management software; Web service composition automation; collaborative business processes; conditional tableau algorithm; description logic; extended deterministic finite automata; process-based workflow; Automata; Collaborative work; Costs; Doped fiber amplifiers; Engines; Erbium-doped fiber amplifier; International collaboration; Logic; Runtime; Web services; Collaborative business processes; DFA; Tableau algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2007. CSCWD 2007. 11th International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    1-4244-0963-2
  • Electronic_ISBN
    1-4244-0963-2
  • Type

    conf

  • DOI
    10.1109/CSCWD.2007.4281555
  • Filename
    4281555