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

Authors:
Xia Wang;Manfred Hauswirth;Tomas Vitvar;Maciej Zaremba
Affiliations:
National University of Ireland, Galway, Ireland;National University of Ireland, Galway, Ireland;National University of Ireland, Galway, Ireland;National University of Ireland, Galway, Ireland
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 11
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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.