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We propose a Discovery approach to find web services composition flows sorted by similarity. The approach extracts information from BPEL files. When creating new web services composition, the discovery result can be reused directly or provide reference. We import the lexical semantic in matching keywords. By analysis
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 structure has been put forward of P2P systems are strictly based on the keyword matching to find the way of routing resources, so the routing mechanism will not be able to reflect the massive, distributed resources, and semantic information, thus reducing the precision of service discovery and search prospective
Web service discovery is a mechanism which facilitates an access to the Web service descriptions. UDDI facilitates the discovery based on the service functionality through keyword and category matching. Such discovery techniques do not consider the semantics and user context as they are too syntactic in nature. In
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
Most of the current framework for Web services is based on keyword matching. Web services which contain semantics multiplicity still cannot realize service discovery and bind automatically. To solve the lack of efficient discovery mechanism for Web service, a semantic Web technology based Web services discovery
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