Abstract
The widespread deployment of communication networks has facilitated the sharing and exchange of spatial data between producers and users spread out over different locations. These users are not necessarily located at the same sites neither belong to the same organizations, but must cooperate. Spatial data is used to help user making decision in this context. Data is updated in parallel, depending on the requirements and, consequently, at different levels of detail and quality. Problems then arise during the integration of evolutions originating from multiple sources into the final user's dataset. To solve these problems, we propose an overall process of integrating evolutions that will, on the one hand, allow the filtering out of evolutions that are irrelevant to the end user and, on the other, to detect and process conflicts caused by the updating.