Dietze, Stefan; Gugliotta, Alessio; Domingue, John; Yu, Hong Qing and Mrissa, Michael
(2010).
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(Version of Record)
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/s11761-010-0070-7 |
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| Google Scholar: | Look up in Google Scholar |
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 Item |
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| Copyright Holders: | 2010 Springer-Verlag London Limited |
| ISSN: | 1863-2386 |
| Keywords: | web services; service discovery; SWS mediation; conceptual spaces; integration; interoperability |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Research Group: | Centre for Research in Computing (CRC) |
| Item ID: | 24706 |
| Depositing User: | Kay Dave |
| Date Deposited: | 17 Nov 2010 11:33 |
| Last Modified: | 18 Jun 2020 02:24 |
| URI: | http://oro.open.ac.uk/id/eprint/24706 |
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