出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Data warehouse systems provide a great way to centralize and converge all data of anorganization in order to facilitating access to the huge amounts of information, analysing anddecision making. Actually, the conceptual data-models of data warehouses does not take intoaccount the semantic dimension of information. However, the semantic of data modelsconstitute an important indicator to help users to finds its way in any applications that use thedata warehouse. In this study, we will tackle this problem trough using ontologies and semanticweb techniques to integrate and model information. The contributions of this paper are anontology for the field of grain trade and a semantic data warehouse which uses the ontology asa conceptual data-model.
关键词：Ontology Engineering; Data Warehouse; Sparql Endpoint.
