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Enriching service semantics through conceptual vector spaces

Dietze, Stefan and Domingue, John (2009). Enriching service semantics through conceptual vector spaces. In: CEUR Workshop Proceedings, 460 pp. 49–60.

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Semantic Web Services (SWS) aim at the automated discovery and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. In that, SWS strive for automated interoperability and reusability of heterogeneous services through matchmaking of semantic capability and interface descriptions. However, to do so, established SWS reference models build on the general assumption that either (a) SWS providers subscribe to a common vocabulary to annotate their services or (b) alignments between distinct vocabularies are established. This is due to the fact that SWS descriptions are lacking sufficient meaningfulness to automatically infer relationships between syntactically different semantic annotations. In order to address these issues and to overcome the need for (a) and (b), we propose a representational approach which allows to enrich standard SWS descriptions through vector spaces, which are represented as a dedicated ontology being aligned with existing SWS standards. As a result, similarities between instances used to annotate SWS become automatically computable by means of spatial distances. Hence, our approach significantly contributes to solve the interoperability problem between heterogeneous SWS as well as SWS reference models.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 The Authors
ISSN: 1613-0073
Keywords: Semantic Web Services; interoperability; vector spaces
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)
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Item ID: 23021
Depositing User: Kay Dave
Date Deposited: 23 Sep 2010 10:39
Last Modified: 15 Jan 2019 07:34
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