We present and evaluate an approach to hybrid semantic Web service matching, called OWLS-MX, that utilizes both logic based reasoning and content based information retrieval techniques for services specified in OWI-S. Results of our comparative measurements of performance and scalability of OWLS-MX variants and selected token-based IR similarity metrics provide experimental evidence that building semantic Web service matchmakers purely on description logic reasoners artificially limits their potential. Experimental results show that logic based only approaches to semantic OWL-S service matching can be outperformed by both content-based and hybrid approaches to semantic service matching.
展开▼
