Clustering-based semantic web service matchmaking with automated knowledge acquisition

Abstract

The proliferation of Web services demands for a discovery and matchmaking mechanism to find Web services that satisfy the requests more accurately. We propose a clustering-based semantic matching method with Automated Knowledge Acquisition to improve the performance of semantic match based on OWL-S. The clustering method enables service matchmaker to significantly reduce the overhead and locate the suitable services quickly. The Automated Knowledge Acquisition mechanism is used for extending ontology to solve the problem that the user's query word doesn't exist in the ontology model. We present performance analysis of the experiments and obtain the great improvement of precision and recall due to the method. © 2009 Springer-Verlag.