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With the number of registered Web services growing, Identifying desired Web service is crucial for Web users. Current keyword based service search are inefficient in two main aspects: poor scalability and lack of semantics. Firstly ,the users are overwhelmed by the huge number of irrelevant services returned. Secondly
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
presented. Extensible experiment results demonstrate that annotated web services by our proposed method can more satisfy requirements of service requesters than keyword-based described web services. It can achieve higher service discovery effectiveness.
components, assembling programs etc., but also imports ontology repository and user interest model. In order to implement program mining, we propose a component repository model based on ontology. Meanwhile, a new and efficient search mechanism is put forward which combines the search mechanism of facet, keywords, ontology and
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