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Article Dans Une Revue International Journal of Web Services Research Année : 2011

Mediation Spaces for Similarity-based Semantic Web Services Selection

Alessio Gugliotta
  • Fonction : Auteur
Michael Mrissa

Résumé

Semantic Web Services (SWS) aim at the automated discovery, selection and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. The latter are in principle deployed by multiple possible actors (i.e. service providers and service consumers), and thus, a high level of heterogeneity between distinct SWS annotations is expected. Therefore, mediation between concurrent semantic representations of services is a key requirement to fully implement the SWS vision. In particular, we argue that “semantic-level mediation” is necessary to identify semantic similarities across distinct SWS representations. To this end, we first formalized and then implemented a mediation approach based on the so-called "Mediation Spaces" (MS), which enables the implicit representation of semantic similarities among distinct SWS descriptions. As a result, given a specific SWS approach and the proposed MS, a general purpose algorithm has been implemented to empower SWS selection with the automatic computation of semantic similarities between a given SWS request and a set of SWS offers. A prototypical application illustrates our approach and highlights the benefits w.r.t. current mediation approaches.
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Dates et versions

hal-01354376 , version 1 (18-08-2016)

Identifiants

Citer

Stefan Dietze, Alessio Gugliotta, John Domingue, Michael Mrissa. Mediation Spaces for Similarity-based Semantic Web Services Selection. International Journal of Web Services Research, 2011, 1, 8, pp.20. ⟨10.4018/jwsr.2011010101⟩. ⟨hal-01354376⟩
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