COV4SWS.KOM: information quality-aware matchmaking for semantic services

Authors:
Stefan Schulte;Ulrich Lampe;Matthias Klusch;Ralf Steinmetz
Affiliations:
Distributed Systems Group, Vienna University of Technology, Austria;Multimedia Communications Lab, Technische Universität Darmstadt, Germany;German Research Center for Artificial Intelligence, Saarbrücken, Germany;Multimedia Communications Lab, Technische Universität Darmstadt, Germany
Venue:
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Year:
2012

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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.