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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