Multidimensional Semantic Web Services Matching

The research activity in the semantic Web services area is very active in proposals of solutions for calculating similarity between services. The similarity is measured in different dimensions, i.e. input/output parameters, QoS, correlations between preconditions and effects, etc. This work describes an approach to measuring the degree of similarity between semantic Web services considering multiple dimensions as a whole. We propose the integration of results obtained from different matching algorithms in a generic and customizable manner.

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