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One of the challenging problem that Web service technology is now facing is effective service discovery. To solve the deficiencies of Web service description, matching and choosing under WSDL language, this paper presents a web service discovery method based on keyword clustering and concept expansion, mainly from the
, a collaborative tagging-based environment for Web service discovery, allowing users to tag or annotate a Web service using keyword or free-text. Our system proposes consequently two types of query to search tagged Web services: keyword based and free-text. We put in place an advanced mode in the discovery by keyword
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
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
Classification of web services through semantic service discovery of a similar event will be the feature services. However, to improve the selection and matching process is not enough. The existing service discovery approaches often published keyword matching to find web services practices. In this paper we propose a
well define these conceptions and the relationship between these conceptions. In this way, errors and failures generated due to misunderstanding the conceptions are reduced, function-based services are much easier to be discovered and combined, and in the meantime, the deficiency in keyword-based search technology of UDDI
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
To discovery Web services in Internet, many approaches have been proposed such as UDDI and DWS. The problem of those methods is that they are just a kind of simple syntax match based on keywords. They make the match inflexible, sometimes even unfaithful. This paper proposes a new algorithm to discover web services
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