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    A fuzzy VSM-based approach for semantic service retrieval

    Access Status
    Fulltext not available
    Authors
    Chotipant, S.
    Hussain, F.
    Dong, Hai
    Hussain, O.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Chotipant, S. and Hussain, F. and Dong, H. and Hussain, O. 2014. A fuzzy VSM-based approach for semantic service retrieval, pp. 682-689: Springer Verlag.
    Source Title
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISBN
    9783319126425
    School
    School of Accounting
    URI
    http://hdl.handle.net/20.500.11937/35420
    Collection
    • Curtin Research Publications
    Abstract

    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.

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