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DMaaS: syntactic, structural and semantic mediation for service composition

DMaaS: syntactic, structural and semantic mediation for service composition Service composition is a major advance service-oriented computing brings to enable the development of distributed applications. However, the distributed nature of services hampers their composition with data heterogeneity problems. In this paper, we address these problems with a decentralised mediation-as-a-service architecture that solves data inconsistencies occurring during the composition of business services. As an extension to our previous work that focused on data interpretation problems, we present in this paper a solution to solve data inconsistencies at the syntactic, structural and semantic levels. We show how syntactic, structural and semantic mediation techniques can be combined, and how semantic mediation provides useful information that helps structural and syntactic mediation. We demonstrate how our architecture enables decentralised publication and discovery of mediation services. We motivate our work with a concrete scenario and validate our proposal with experiments. Keywords: web services; composition; data mediation; data integration; data semantics. Copyright © 2016 Inderscience Enterprises Ltd. DMaaS: syntactic, structural and semantic mediation Reference to this paper should be made as follows: Sellami, M., De Vettor, P., Mrissa, M., Benslimane, D. and Defude, B. (2016) `DMaaS: syntactic, structural and semantic mediation for service composition', Int. J. Autonomous and Adaptive Communications Systems, Vol. 9, Nos. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Autonomous and Adaptive Communications Systems Inderscience Publishers

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1754-8632
eISSN
1754-8640
DOI
10.1504/IJAACS.2016.079627
Publisher site
See Article on Publisher Site

Abstract

Service composition is a major advance service-oriented computing brings to enable the development of distributed applications. However, the distributed nature of services hampers their composition with data heterogeneity problems. In this paper, we address these problems with a decentralised mediation-as-a-service architecture that solves data inconsistencies occurring during the composition of business services. As an extension to our previous work that focused on data interpretation problems, we present in this paper a solution to solve data inconsistencies at the syntactic, structural and semantic levels. We show how syntactic, structural and semantic mediation techniques can be combined, and how semantic mediation provides useful information that helps structural and syntactic mediation. We demonstrate how our architecture enables decentralised publication and discovery of mediation services. We motivate our work with a concrete scenario and validate our proposal with experiments. Keywords: web services; composition; data mediation; data integration; data semantics. Copyright © 2016 Inderscience Enterprises Ltd. DMaaS: syntactic, structural and semantic mediation Reference to this paper should be made as follows: Sellami, M., De Vettor, P., Mrissa, M., Benslimane, D. and Defude, B. (2016) `DMaaS: syntactic, structural and semantic mediation for service composition', Int. J. Autonomous and Adaptive Communications Systems, Vol. 9, Nos.

Journal

International Journal of Autonomous and Adaptive Communications SystemsInderscience Publishers

Published: Jan 1, 2016

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