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Hybrid Adaptive Web Service Selection with SAWSDL-MX and WSDL-Analyzer

  • Matthias Klusch
  • Patrick Kapahnke
  • Ingo Zinnikus
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5554)

Abstract

In this paper, we present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three kinds of semantic service similarity with a given service request, that are logic-based, text-based and structural similarity. In particular, the degree of structural service similarity is computed by the WSDL-Analyzer tool [12] by means of XMLS tree edit distance measurement, string-based and lexical comparison of the respective XML-based WSDL services. SAWSDL-MX2 then learns the optimal aggregation of these different matching degrees over a subset of a test collection SAWSDL-TC1 based on a binary support vector machine-based classifier. Finally, we compare the retrieval performance of SAWSDL-MX2 with a non-adaptive matchmaker variant SAWSDL-MX1 [1] and the straight forward combination of its logic-based only variant SAWSDL-M0 with WSDL-Analyzer.

Keywords

Description Logic Service Request Retrieval Performance Service Description Semantic Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Matthias Klusch
    • 1
  • Patrick Kapahnke
    • 1
  • Ingo Zinnikus
    • 1
  1. 1.German Research Center for Artificial IntelligenceSaarbrückenGermany

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