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Discovering Homogenous Service Communities through Web Service Clustering

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Service-Oriented Computing: Agents, Semantics, and Engineering (SOCASE 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5006))

Abstract

Contemplating the enormous success of the Web and the reluctance in taking up the web service technology, the idea of a service engine enabled service-oriented architecture seems to be more and more plausible than the traditional registry based one. Automatically clustering WSDL files on the Web into functional similar homogenous service groups can be seen as a bootstrapping step for creating a service search engine and at the same time reduce the search space for service discovery. This paper devises techniques to automatically gather, discover, and integrate features related to a set of WSDL files, and cluster them into naturally occurring groups.

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, University of Western Australia, Crawley, WA 6009

    Wei Liu & Wilson Wong

Authors
  1. Wei Liu
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  2. Wilson Wong
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Editor information

Ryszard Kowalczyk Michael Huhns Matthias Klusch Zakaria Maamar Quoc Bao Vo

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© 2008 Springer-Verlag Berlin Heidelberg

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Liu, W., Wong, W. (2008). Discovering Homogenous Service Communities through Web Service Clustering. In: Kowalczyk, R., Huhns, M., Klusch, M., Maamar, Z., Vo, Q.B. (eds) Service-Oriented Computing: Agents, Semantics, and Engineering. SOCASE 2008. Lecture Notes in Computer Science, vol 5006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79968-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-79968-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79967-2

  • Online ISBN: 978-3-540-79968-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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