An automated approach to Semantic Web Services Mediation

  • Authors:

  • Stefan Dietze;Alessio Gugliotta;John Domingue;Hong Qing Yu;Michael Mrissa

  • Affiliations:

  • Knowledge Media Institute, The Open University, Milton Keynes, UK MK76AA;Innova Spa, Roma, Italy 00131;Knowledge Media Institute, The Open University, Milton Keynes, UK MK76AA;Knowledge Media Institute, The Open University, Milton Keynes, UK MK76AA;Université de Lyon, CNRS, Université Lyon 1, LIRIS UMR5205, Lyon, France 69622

  • Venue:
  • Service Oriented Computing and Applications
  • Year:
  • 2010

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Abstract

Semantic Web Services (SWS) aim at the automated discovery, selection and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. However, heterogeneities between distinct SWS representations pose strong limitations w.r.t. interoperability and reusability. Hence, semantic-level mediation, i.e. mediation between concurrent semantic representations of services, is a key requirement to allow SWS matchmaking algorithms to compare capabilities of distinct SWS. Semantic-level mediation requires to identify similarities across distinct SWS representations. Since current approaches rely either on manual one-to-one mappings or on semi-automatic mappings based on the exploitation of linguistic or structural similarities, these are perceived to be costly and error-prone. We propose a mediation approach enabling the implicit representation of similarities across distinct SWS by grounding these in so-called Mediation Spaces (MS). Given a set of SWS and their respective MS grounding, a general-purpose mediator automatically computes similarities to identify the most appropriate SWS for a given request. A prototypical application illustrates our approach.