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    Intelligent matching for public internet web services ? towards semi-automatic internet services mashup

    133577_StreamGate.pdf (386.2Kb)
    Access Status
    Open access
    Authors
    Wu, Chen
    Dillon, Tharam S.
    Chang, Elizabeth
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Wu, Chen and Dillon, Tharam and Chang, Elizabeth. 2009. Intelligent matching for public internet web services - towards semi-automatic internet services mashup, in Paul Hofmann (ed), IEEE International Conference on Web Services (ICWS 2009), Jul 6 2009, pp. 759-766.Los Angeles, USA: IEEE
    Source Title
    Proceedings of the IEEE international conference on web services (ICWS 2009)
    Source Conference
    IEEE International Conference on Web Services (ICWS 2009)
    Additional URLs
    http://doi.ieeecomputersociety.org/10.1109/ICWS.2009.116
    ISBN
    9780769537092
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/16315
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we propose an Internet public Web service matching approach that paves the way for(semi-)automatic service mashup. We will first provide the overview of the solution, which requires a detailed review of two fundamental models ? schema/graph matching and semantic space. Based on the conceptual model and the literature study, the complete service matching approach is then provided with four essential steps ? semantic space, parameter tree, similarity measures, and WSDL operation matching. The system demonstration that proves the concept proposed in this approach is finally presented. The solution has the potential to facilitate the Internet services mashup.

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