• DocumentCode
    3202253
  • Title

    Reputation-Based Web Service Selection for Composition

  • Author

    Bansal, Srividya K. ; Bansal, Ajay

  • Author_Institution
    Dept. of Eng., Arizona State Univ., Mesa, AZ, USA
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    95
  • Lastpage
    96
  • Abstract
    The success and acceptance of Web service composition depends on computing solutions comprised of trustworthy services. In this paper, we extend our Web service Composition framework to include selection and ranking of services based on their reputation score. With the increasing popularity of Web-based Social Networks like Linked in, Facebook, and Twitter, there is great potential in determining the reputation score of a particular service provider using Social Network Analysis. We present a technique to calculate a reputation score per service using centrality measure of Social Networks. We use this score to produce composition solutions that consist of services provided by trust-worthy and reputed providers.
  • Keywords
    Web services; social networking (online); Facebook; Twitter; reputation based web service selection; social network analysis; trustworthy services; web based social networks; web service composition; Atmospheric measurements; Buildings; Indexes; Organizations; Particle measurements; Social network services; Web services; reputation; service composition; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2011 IEEE World Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-0879-4
  • Electronic_ISBN
    978-0-7695-4461-8
  • Type

    conf

  • DOI
    10.1109/SERVICES.2011.96
  • Filename
    6012664