• DocumentCode
    2575060
  • Title

    An approach to evaluate and enhance the retrieval of Semantic Web services

  • Author

    Schulte, Stefan ; Eckert, Julian ; Repp, Nicolas ; Steinmetz, Ralf

  • Author_Institution
    Multimedia Commun. Lab. (KOM), Tech. Univ. Darmstadt, Darmstadt
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In order to achieve the (semi-) automatic composition of Web services to business processes and workflows respectively, it is necessary to make use of semantic information regarding the capabilities and further characteristics of particular Web services. In recent years, a couple of approaches have been proposed to achieve (semi-) automatic annotation, retrieval, and composition of Semantic Web services; however, differences in Web service standards and repositories used for the evaluation of these approaches lead to a lack of both in-depth evaluations and comparability of the proposals. In this paper, we present a workbench to test and evaluate the performance of annotation, retrieval, and composition algorithms for Semantic Web services. As a proof of concept we introduce SEM.KOM, a prototypical implementation based on standardized Web service technologies.
  • Keywords
    Web services; business data processing; information retrieval; information use; semantic Web; workflow management software; annotation algorithm; business process; composition algorithm; semantic Web service retrieval; semantic information use; workflow process; Business communication; Electronic mail; Information retrieval; Proposals; Prototypes; Quality of service; Semantic Web; Testing; Vocabulary; Web services; Semantic Web services; Service Interface Matching; Service Matchmaking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2008 International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-1671-4
  • Electronic_ISBN
    978-1-4244-1672-1
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2008.4598550
  • Filename
    4598550