Research on the Matching Algorithm of Semantic Web Service in Pervasive Environments

Abstract

With the dramatic increasing number of available Web services, how to locate the right services is becoming a big challenge in pervasive environments. The Web services discovery mechanism of UDDI based on keywords and simple classification can not meet the current needs. A semantic distance between ontology concepts is defined to calculate the similarity between ontology concepts. Based on the similarity, a new semantic Web service matching algorithm is proposed. The evaluations of the experimental results have indicated that the results correlate well with this algorithm under the pervasive environment.