OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services

  • Authors:
  • Matthias Klusch;Benedikt Fries;Katia Sycara

  • Affiliations:
  • German Research Center for Artificial Intelligence, Stuhlsatzenhausweg 3, Saarbruecken, Germany;Morgan Stanley Japan Securities Corporation, Tokyo, Japan;Carnegie Mellon University, Robotics Institute, Pittsburgh, USA

  • Venue:
  • Web Semantics: Science, Services and Agents on the World Wide Web
  • Year:
  • 2009

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Abstract

In this paper, we describe the first hybrid Semantic Web service matchmaker for OWL-S services, called OWLS-MX. It complements crisp logic-based semantic matching of OWL-S services with token-based syntactic similarity measurements in case the former fails. The results of the experimental evaluation of OWLS-MX provide strong evidence for the claim that logic-based semantic matching of OWL-S services can be significantly improved by incorporating non-logic-based information retrieval techniques. An additional analysis of false positives and false negatives of the hybrid matching filters of OWLS-MX led to an even further improved matchmaker version called OWLS-MX2.