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Nowadays, with the appearance of more and more web services, it has been one of the key points that how to find the target service quickly and precisely. Traditional methods of web service discovery are only based on the keyword matching, but it's very difficult to realize more detailed and intelligent services, and
Service-Oriented Computing (SOC) is emerging as a new promising computing paradigm. Web service discovery is one of the key issues in SOC. Web service discovery usually provide UDDI as a standard registry which features only keyword-based matches that often give poor performance. Currently approaches for semantic
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
Nowadays, most grid service discovery use keyword matching and never describe the matching degree. Meantime, a user's request cannot be satisfied by any available service, whereas a composite service obtained by combining available services can be used. When each grid service matches a request best, the service
Traditional web service search technology based on keyword is time consuming and inefficient. The search results are rather inaccurate. The essential reason is that description of Web Service lacks semantic information. Search Engines can't achieve the interaction automatically and intelligently among services. In
As the number of web services is increasing, finding the best service according to the users' requirements becomes a challenging task. Traditional method of web services discovery is based on keyword match. Due to this, many web services which are most relevant to the user request are left undiscoverable. Some other
As a promising web application paradigm, web services have been widely adopted as e-business solutions. However, UDDI, the discovery mechanism of Web services, has the limitation of lack of semantic inference support, and the search mechanism based on keyword and categorization information leads to a limited
The number of available Web services, nowadays, is growing rapidly due their potential in many fields. As a result, the discovery process becomes a challenging issue. Traditional syntactic keywords based discovery techniques are inefficient as they fail to recognize similarities between Web services capabilities. Thus
rdquoThe increasing Web service in spatial information domain, demands us to discovery service precisely and efficiently. However traditional Web service discovery provides keywords based search method, which would lead to rough search results, can't satisfy our request. Besides Web services lack of semantic
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