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A Linguistic Approach for Semantic Web Service Discovery

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Management Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 171))

Abstract

We propose a Semantic Web Service Discovery framework for finding semantically annotated Web services by using natural language processing techniques. The framework searches through a set of annotated Web services for matches with a user query, which consists of keywords, so that knowledge about semantic languages is not required. For matching keywords with Semantic Web service descriptions given in Web Service Modeling Ontology (WSMO), techniques like part-of-speech tagging, lemmatization, and word sense disambiguation are used. Three different matching algorithms are defined and evaluated for their ability to do exact matching and approximate matching between the user query and Web Service descriptions.

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Author information

Authors and Affiliations

  1. Erasmus University Rotterdam, P.O. Box 1738, NL-3000 DR, Rotterdam, The Netherlands

    Jordy Sangers, Flavius Frasincar, Frederik Hogenboom & Alexander Hogenboom

  2. Tie Kinetix, P.O. Box 3053, NL-2130 KB, Hoofddorp, The Netherlands

    Vadim Chepegin

Authors
  1. Jordy Sangers
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  2. Flavius Frasincar
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  3. Frederik Hogenboom
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  4. Alexander Hogenboom
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  5. Vadim Chepegin
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Corresponding author

Correspondence to Jordy Sangers .

Editor information

Editors and Affiliations

  1. Dept. Computer Science & A.I., University of Granada, Granada, 18071, Spain

    Jorge Casillas

  2. Dept. of Management, University of Granada, Granada, 18071, Spain

    Francisco J. Martínez-López

  3. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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© 2012 Springer-Verlag Berlin Heidelberg

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Sangers, J., Frasincar, F., Hogenboom, F., Hogenboom, A., Chepegin, V. (2012). A Linguistic Approach for Semantic Web Service Discovery. In: Casillas, J., Martínez-López, F., Corchado Rodríguez, J. (eds) Management Intelligent Systems. Advances in Intelligent Systems and Computing, vol 171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30864-2_13

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  • DOI: https://doi.org/10.1007/978-3-642-30864-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30863-5

  • Online ISBN: 978-3-642-30864-2

  • eBook Packages: EngineeringEngineering (R0)

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