COV4SWS.KOM: Information Quality-Aware Matchmaking for Semantic Services

  • Stefan Schulte
  • Ulrich Lampe
  • Matthias Klusch
  • Ralf Steinmetz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7295)

Abstract

The discovery of functionally matching services – often referred to as matchmaking – is one of the essential requirements for realizing the vision of the Internet of Services. In practice, however, the process is complicated by the varying quality of syntactic and semantic descriptions of service components. In this work, we propose COV4SWS.KOM, a semantic matchmaker that addresses this challenge through the automatic adaptation to the description quality on different levels of the service structure. Our approach performs very good with respect to common Information Retrieval metrics, achieving top placements in the renowned Semantic Service Selection Contest, and thus marks an important contribution to the discovery of services in a realistic application context.

Keywords

Ordinary Little Square Service Request Service Discovery Semantic Concept Service Description 
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 2012

Authors and Affiliations

  • Stefan Schulte
    • 1
  • Ulrich Lampe
    • 2
  • Matthias Klusch
    • 3
  • Ralf Steinmetz
    • 2
  1. 1.Distributed Systems GroupVienna University of TechnologyAustria
  2. 2.Multimedia Communications LabTechnische Universität DarmstadtGermany
  3. 3.German Research Center for Artificial IntelligenceSaarbrückenGermany

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