Abstract
To fully realize the potential of web services it is necessary to develop viable dynamic discovery and composition techniques. Matchmaking is considered as one of the crucial factors to ensure dynamic discovery and composition of web services. However, the issues associated with matchmaking for web services that involve data repository are not well addressed by the existing methods which focus on service capabilities, interface signatures, and so on. This results from that the information and data in repository are not considered for matchmaking. This paper proposes a novel framework which exploits fuzzy logic in order to abstract and classify the underlying data of web services as fuzzy terms and rules. As a result, it increases the efficiency of the discovery of web services and to allow imprecise or vague terms in the search query.
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