Rhone: a quality-based query rewriting algorithm for data integration.

International audienceNowadays, data provision is mostly done by data services.Data integration can be seen as composition of data services and dataprocessing services that can deal with to integrate data collections. Withthe advent of cloud, producing service compositions is computationallycostly. Furthermore, executing them can require a considerable amountof memory, storage and computing resources that can be provided byclouds. Our research focuses on how to enhance the results on the in-crease of cost on data integration in the new context of cloud. To do so,we present in this paper our original data integration approach whichtakes into account user's integration requirements while producing anddelivering the results. The service selection and service composition areguided by the service level agreement - SLA exported by dierent ser-vices (from one or more clouds) and used by our matching algorithm(called Rhone) that addresses the query rewriting for data integrationpresented here as proof of concept