Mediation Spaces for Similarity-based Semantic Web Services Selection

Stefan Dietze 1 Alessio Gugliotta John Domingue 1 Michael Mrissa 2
2 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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. 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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Journal articles
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https://hal.archives-ouvertes.fr/hal-01354376
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Submitted on : Thursday, August 18, 2016 - 7:24:42 PM
Last modification on : Friday, April 26, 2019 - 11:16:01 PM

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

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