Deciding semantic matching of stateless services

  • Authors:
  • Duncan Hull;Evgeny Zolin;Andrey Bovykin;Ian Horrocks;Ulrike Sattler;Robert Stevens

  • Affiliations:
  • School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;Department of Computer Science, University of Liverpool, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK;School of Computer Science, University of Manchester, UK

  • Venue:
  • AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
  • Year:
  • 2006

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Abstract

We present a novel approach to describe and reason about stateless information processing services. It can be seen as an extension of standard descriptions which makes explicit the relationship between inputs and outputs and takes into account OWL ontologies to fix the meaning of the terms used in a service description. This allows us to define a notion of matching between services which yields high precision and recall for service location. We explain why matching is decidable, and provide biomedical example services to illustrate the utility of our approach.