A Fuzzy VSM-Based Approach for Semantic Service Retrieval

  • Supannada Chotipant
  • Farookh Khadeer Hussain
  • Hai Dong
  • Omar Khadeer Hussain
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8836)


A vast number of business services have been published on the Web in an attempt to achieve cost reductions and satisfy user demand. Service retrieval consequently plays an important role, but unfortunately existing research focuses on crisp service retrieval techniques which are unsuitable for vague real world information. In this paper, we propose a new fuzzy service retrieval approach which consists of two modules: service annotation and service retrieval. Related service concepts for a given query are semantically retrieved, following which services that are annotated to those concepts are retrieved. The degree of retrieval of the retrieval module and the similarity between a service, a concept, and a query are fuzzy. Our experiment shows that the proposed approach performs better than a non-fuzzy approach on Recall measure.


Fuzzy Service Retrieval Semantic Service Annotation Semantic Service Retrieval 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Supannada Chotipant
    • 1
  • Farookh Khadeer Hussain
    • 1
  • Hai Dong
    • 2
  • Omar Khadeer Hussain
    • 3
  1. 1.Decision Support and e-Service Intelligence Lab (DeSI) Quantum Computation and Intelligent Systems (QCIS) and School of SoftwareUniversity of Technology Sydney (UTS)SydneyAustralia
  2. 2.School of Computer Science and Information TechnologyRMIT UniversityAustralia
  3. 3.School of Business University of New South Wales, ADFACanberra BCAustralia

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