research-article

Semantic web services selection improved by application ontology with multiple concept relations

Authors:

Manfred Hauswirth,

Maciej ZarembaAuthors Info & Claims

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

Pages 2237 - 2242

https://doi.org/10.1145/1363686.1364222

Published: 16 March 2008 Publication History

Abstract

Being able to determine and quantify the semantic similarity between ontological concepts is a key requirement for the discovery, selection, and composition of semantic web services. Especially concept similarity is calculated between different service ontologies, it is still a problem. In this paper, we propose an ontology-based approach for semantic service selection which takes into account the heterogeneity of service descriptions. The approach is based on an application ontology (AO), which is merged by different service ontologies and constructed as a semantic net with multiple concept relations. Empirically the proposed method is shown to improve the quality of service selection.

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Cited By

Chang DLee C(2018)A product affective properties identification approach based on web mining in a crowdsourcing environmentJournal of Engineering Design10.1080/09544828.2018.146351429:8-9(449-483)Online publication date: 18-Apr-2018
https://doi.org/10.1080/09544828.2018.1463514
Chang DChen C(2015)Product concept evaluation and selection using data mining and domain ontology in a crowdsourcing environmentAdvanced Engineering Informatics10.1016/j.aei.2015.06.00329:4(759-774)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1016/j.aei.2015.06.003
Pérez-Catalán MBerlanga RSanz IAramburu M(2013)A semantic approach for the requirement-driven discovery of web resources in the Life SciencesKnowledge and Information Systems10.1007/s10115-012-0498-534:3(671-690)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1007/s10115-012-0498-5

Index Terms

Semantic web services selection improved by application ontology with multiple concept relations

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cover image ACM Conferences

SAC '08: Proceedings of the 2008 ACM symposium on Applied computing

March 2008

2586 pages

ISBN:9781595937537

DOI:10.1145/1363686

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Hisham M. Haddad
Kennesaw State University

Copyright © 2008 ACM.

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Published: 16 March 2008

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March 16 - 20, 2008

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Cited By

Chang DLee C(2018)A product affective properties identification approach based on web mining in a crowdsourcing environmentJournal of Engineering Design10.1080/09544828.2018.146351429:8-9(449-483)Online publication date: 18-Apr-2018
https://doi.org/10.1080/09544828.2018.1463514
Chang DChen C(2015)Product concept evaluation and selection using data mining and domain ontology in a crowdsourcing environmentAdvanced Engineering Informatics10.1016/j.aei.2015.06.00329:4(759-774)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.1016/j.aei.2015.06.003
Pérez-Catalán MBerlanga RSanz IAramburu M(2013)A semantic approach for the requirement-driven discovery of web resources in the Life SciencesKnowledge and Information Systems10.1007/s10115-012-0498-534:3(671-690)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1007/s10115-012-0498-5

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