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An automated approach to Semantic Web Services mediation

Dietze, Stefan; Gugliotta, Alessio; Domingue, John; Yu, Hong Qing and Mrissa, Michael (2010). An automated approach to Semantic Web Services mediation. Service Oriented Computing and Applications, 4(4) pp. 261–275.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/s11761-010-0070-7
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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.

Item Type: Journal Article
Copyright Holders: 2010 Springer-Verlag London Limited
ISSN: 1863-2386
Keywords: web services; service discovery; SWS mediation; conceptual spaces; integration; interoperability
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 24706
Depositing User: Kay Dave
Date Deposited: 17 Nov 2010 11:33
Last Modified: 26 Oct 2012 20:27
URI: http://oro.open.ac.uk/id/eprint/24706
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