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Information Systems Frontiers
Published in: Information Systems Frontiers 6/2018

27-12-2016

A structural-semantic web service selection approach to improve retrievability of web services

Authors: Martin Garriga, Alan De Renzis, Ignacio Lizarralde, Andres Flores, Cristian Mateos, Alejandra Cechich, Alejandro Zunino

Published in: Information Systems Frontiers | Issue 6/2018

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Abstract

Service-Oriented Computing promotes building applications by consuming and reusing Web Services. However, the selection of adequate Web Services given a client application is still a major challenge. The effort of assessing and adapting candidate services could be overwhelming due to the “impedance” of Web Service interfaces expected by clients versus the actual interfaces of retrieved Web Services. In this work, we present a novel structural-semantic approach to help developers in the retrieval and selection of services from a service registry. The approach is based on a comprehensive structural scheme for service Interface Compatibility analysis, and WordNet as the semantic support to assess identifiers of operations and parameters. We also empirically analyze, compare and contrast the performance of three service selection methods: a pure structural approach, a pure semantic approach, and the structural-semantic (hybrid) approach proposed in this work. The experimental analysis was performed with two data-sets of real-world Web Services and a service discovery support already published in the literature. Results show that our hybrid service selection approach improved effectiveness in terms of retrievability of Web Services compared to the other approaches.
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Footnotes
1
Web Service Description Language - http://​www.​w3.​org/​TR/​wsdl
 
7
Ontology Web Language for Services
 
8
Web Service Modeling Ontology
 
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Metadata
Title
A structural-semantic web service selection approach to improve retrievability of web services
Authors
Martin Garriga
Alan De Renzis
Ignacio Lizarralde
Andres Flores
Cristian Mateos
Alejandra Cechich
Alejandro Zunino
Publication date
27-12-2016
Publisher
Springer US
Published in
Information Systems Frontiers / Issue 6/2018
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-016-9731-1

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