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discovery algorithm (iv) User profile and reputation
(v)Result ranking and (vi) Lowering ontology to
tags.
Based on our heuristic proposal, it seems
strongly plausible that Web service semantic
annotation become a much easier task for service
suppliers or requestors, the service discovery quality
can be enhanced based on this kind of annotation.
Nonetheless, users are strongly encouraged to
participate in the usage or testing of services before
he/she tags them with our proposed tagging model.
Participative data provided by users are crucial
source for our approach to process the degree of
semantic correspondence between a request and an
annotated Web service and for building up user
profile that is used in the result set filtering task.
It is finally very possible to combine our
approach with the exploitation of other semantic
annotations to propose a better Web service
discovery system.
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