• DocumentCode
    479889
  • Title

    Extended Directional Graph Based Description Approach on Web Service Composition Relationship

  • Author

    Zhou, Xiaofeng ; Mao, Yingchi

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Univ. of Hohai, Nanjing
  • Volume
    2
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    364
  • Lastpage
    367
  • Abstract
    Web service composition is the technique of composing arbitrarily complex services from relatively simpler services available over the Internet. Description of Web service composition relationship is the basis of Web service composition. The existing methods on describing the composition relationship can be categorized into two types: the directional graph based, and semantic based. The former is simple, but it can not describe all of the composition relationship. The latter could describe all of the composition relationship, however, it is quite difficult to understand and use for developers due to the complexity of semantic information. In this paper, we proposed a new description approach on Web services composition relationship based on the extended directional graph (EDG-DCR). EDG-DCR not only could describe all of composition relationship, but also be quite easy to understand and use for developers due to its simple elements. Finally, we also implemented a Web service composition description tool, which can automatically create XML-formatted description file.
  • Keywords
    Internet; Web services; XML; directed graphs; Internet; Web service composition relationship; XML-formatted description file; complex services; extended directional graph; semantic information; Application software; Computer science; Context-aware services; Java; Scalability; Software engineering; Web and internet services; Web services; extended directional graph; relationship description; web service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.264
  • Filename
    4722071