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understand the description of services and add their own descriptions using descriptive tags. Instead of requiring end-users to specify detailed steps for composition, the end-users only need to describe their goals using a few keywords. Our approach expands the meaning of a user’s goal using ontologies then derives a group of
and add their own descriptions using descriptive tags. Instead of specifying the detailed steps for composing a service, a non-expert user would specify the goal of their desired activities using a set of keywords then our approach can automatically identify the relevant services to achieve the goal at run-time. A
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
As a large amount of Web services are made available today, the need for a sophisticated and fully automated discovery mechanism becomes a crucial task. Existing syntactic keywords based discovery techniques fail to recognize similarities between Web services capabilities and thus have a very limited search scope. To
Large quantities of services emerging in the internet have put forward higher requirement to service discovery, as a result, the service discovery mechanism based on keywords and simplified classification of UDDI can no longer work well. Service description language, metadata storage and service matching algorithm are
analyzer to pick up information of service and use keywords to find out related services; then we cluster Web services according to the similarity of services; last, we select the appropriate Web service from list of services.
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