Integrating semantic Web services ranking mechanisms using a common preference model
Knowledge-Based Systems
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Ever increasing acceptance of service oriented architectures in combination with the acceptance of the Web as a platform for carrying out electronic business triggers a need for automated methods to find appropriate Web services. Existing discovery approaches often support a very restricted set of use cases mainly due to the ignorance of non-functional properties of services. In our formal model of Web services, we have a unified view on properties that characterize functional as well as non-functional aspects. We present how desired combinations of properties are specified and interpreted as a set of desired service descriptions and show how service descriptions that fulfill such constraints are discovered.