• DocumentCode
    2375601
  • Title

    A Semantic Web Based Peer to Peer Service Discovery Mechanism for Intelligent Business Process

  • Author

    Li, Desheng ; Xu, Ruzhi ; Wang, Haiyang

  • Author_Institution
    Shandong Univ., Jinan
  • fYear
    2007
  • fDate
    24-26 Oct. 2007
  • Firstpage
    730
  • Lastpage
    737
  • Abstract
    Web Service has emerged as a dominant paradigm for distributed computing in industry as well as academia. Current Web service discovery methods are based on centralized approaches where Web services are identified based on service functionality. However, as the number of Web Services grows and becomes more dynamic, such a centralized approach quickly becomes impractical, which suffers from problems such as high operational and maintenance cost, single point of failure, and scalability. This paper proposes a semantic web based peer-to-peer architecture for building dynamic, scalable, decentralized service discovery and binding mechanism used for intelligent business process platform of Virtual Travel Agency. In addition, it integrates a scalable mechanism to rank Web services based on domain ontology and group ontology used for service publication, discovery and process generation. Finally, the performance analysis and evaluation of the method has been discussed and the prospects for the future research are presented.
  • Keywords
    Web services; business data processing; peer-to-peer computing; semantic Web; Web service; distributed computing; intelligent business process; peer to peer service discovery; semantic Web; virtual travel agency; Buildings; Computer industry; Costs; Distributed computing; Ontologies; Peer to peer computing; Scalability; Semantic Web; Service oriented architecture; Web services; Intelligent Business Process.; Peer to Peer; Semantic Web; Service Discovery Mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2007. ICEBE 2007. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3003-1
  • Type

    conf

  • DOI
    10.1109/ICEBE.2007.83
  • Filename
    4402173