An Approach to Match Semantic Web Services Based on Multidimension

Due to the availability of huge number of Web Services (WSs), calculating similarity between services is still a challenge. Usually, the similarity is measured in different dimensions, i.e. input/output parameters, QoS, correlations between preconditions and effects, etc. In this paper, we present an approach to measuring the degree of similarity between semantic web services considering multiple dimensions as a whole. It can integrate the results obtained from different matching algorithms in a generic and customizable manner. So that, the user may determine the relative importance of each dimension and obtain a single rank for candidates services matching a given service.