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    Semantic Web Service Matchmakers: State Of The Art And Challenges

    Access Status
    Fulltext not available
    Authors
    Dong, Hai
    Hussain, Farookh
    Chang, Elizabeth
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Dong, Hai and Hussain, Farookh and Chang, Elizabeth. 2013. Semantic Web Service Matchmakers: State Of The Art And Challenges. Concurrency and Computation: Practice and Experience. 25 : pp. 961-988.
    Source Title
    Concurrency and Computation: Practice and Experience
    DOI
    10.1002/cpe.2886
    ISSN
    1532-0626
    URI
    http://hdl.handle.net/20.500.11937/43324
    Collection
    • Curtin Research Publications
    Abstract

    Web services provide a standard means for the interoperable operations between electronic devices ina network. The mission of Web service discovery is to seek an appropriate Web service for a servicerequester on the basis of the service descriptions in Web service advertisements and the service requester’s requirements. Nevertheless, the standard language used for encoding service descriptions does not have the capacity to specify the capabilities of a Web service, leading to the problem of ambiguity in the service discovery process. This brings up the vision of SemanticWeb Services and SemanticWeb Service discovery, which make use of the SemanticWeb technologies to enrich the semantics of service descriptions for service discovery. Semantic Web Service matchmakers are the programs or frameworks designed to implement the task of Semantic Web Service discovery and have drawn a significant amount of attention from both academia and industry from the start of this century. In this paper, we conduct a survey of the contemporary Semantic Web Service matchmakers in order to obtain an overview of the state of the art in this research area. We summarize six technical dimensions from the past literature and analyze the typical Semantic Web Service matchmakers mostly developed during the past 4 or 5 years in terms of the six dimensions. By means of this analysis, we gain an understanding of the current research and summarize a series of potentialissues to that would provide the foundation for future research in this area.

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