A Semantic Similarity Measure between Web Services Based on Google Distance

In order to get a better semantic matching degree for web services, in this paper, we try to deal with the problems of web services matching through calculating the Normalized Google Distance (NGD) between concepts, based on the semantic description of web service´s name, input and output parameters. This measure method takes advantage of the Google massive terms and open Google search engine to compute the NGD between concepts, and calculates the similarity between web services. Compared with the existing algorithm, we adopt Google terms which present merits of more abundance and updating in a relatively faster speed. This method is simpler and greatly decreases the complexity of calculation because there is no ontology and taxonomy tree, no need to judge the foliatory order, path length, depth and local density. The preliminary results have shown that our algorithm can highly improve the recall and precision of the web service.