Context-aware Service Retrieval in Uncertain Context

In order to improve the performance of context-aware service retrieval we present in this paper a fuzzy sets-based approach to handle uncertain and incomplete context information. Our approach is a two-phase process in which the first step discovers all services whose functional properties match the functional requirements that are needed. In the second step we deal with non-functional requirements and we rank the suitable services w.r.t their qualitative aspects. Functional context-based service discovering is used to retrieve the most appropriates services fitting user's context, thereafter, we utilize a mechanism inspired by graph-comparison for matching nonfunctional context using similarity measures with contextual service descriptions, the selected services are used in ranking process. The best services among the results of ranking are provided to the user.