• DocumentCode
    2768136
  • Title

    User Collaborative Semantic Web Service Matching for Legacy Application Integration A Case Study

  • Author

    Tan, Hua Fang ; Akkiraju, Rama ; Ivan, Anca-Andreea ; Goodwin, Richard ; Knappenberger, Diane

  • Author_Institution
    IBM China Res. Lab., Beijing, China
  • fYear
    2009
  • fDate
    6-10 July 2009
  • Firstpage
    93
  • Lastpage
    98
  • Abstract
    In this paper we present the results of a case study on the application of our semantic Web service matching system to a real-world legacy application integration problem. Experimental results on our initial data sets indicate that the system on its own is able to achieve close to an average of 50% recall and 54% precision measures in matching the parameters that define the interfaces of business applications. Additional performance enhancements of up to 95% recall and 72% precision measures were achieved with the usage of domain ontologies created by an expert. Therefore, we believe a user working with a semantics-based intelligence tool could gain significant productivity enhancements in IT projects rather than working alone. These productivity enhancements can be quickly translated into savings in time and money in business process integration projects.
  • Keywords
    Web services; commerce; ontologies (artificial intelligence); semantic Web; IT projects; business process integration projects; domain ontologies; legacy application integration; semantics-based intelligence tool; user collaborative semantic Web service matching; Application software; Business communication; Collaboration; Collaborative software; Drives; Ontologies; Productivity; Semantic Web; Thesauri; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services - I, 2009 World Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3708-5
  • Electronic_ISBN
    978-0-7695-3708-5
  • Type

    conf

  • DOI
    10.1109/SERVICES-I.2009.136
  • Filename
    5190741