Research on Improving Performance of Semantic Search in UDDI
Jingyu Zhang, Xueli Yu, Peng Liu, Zhen Wang · 2009
The proliferation of Web services demands for a discovery mechanism to find advertisements that satisfy the requests more accurately. OWL-S provides a capability-based description and logic inference mechanism for semantically matching. UDDI provides a registry of businesses and Web services, but its keyword search mechanism produces lack of semantics and coarse results. Research on OWL-S/UDDI matchmaker to combine the two technologies is on the way. We propose a matching algorithm with additional clustering to improve the performance of semantic match based on OWL-S and to make the request semantically match against the advertisements more accurately available. The experiment results show the improvement in the performance of the service discovery.