Mhamed Itmi and Boulares Ouchenne, University of Rouen Normandy, France

Data warehouse systems provide a great way to centralize and converge all data of an organization in order to facilitating access to the huge amounts of information, analysing and decision making. Actually, the conceptual data-models of data warehouses does not take into account the semantic dimension of information. However, the semantic of data models constitute an important indicator to help users to finds its way in any applications that use the data warehouse. In this study, we will tackle this problem trough using ontologies and semantic web techniques to integrate and model information. The contributions of this paper are an ontology for the field of grain trade and a semantic data warehouse which uses the ontology as a conceptual data-model.

Ontology Engineering, Data Warehouse, Sparql Endpoint