Business intelligence is based on data warehouses. Data warehouses use a multidimensional model. Based on this model, OLAP cubes may be defined, enabling decision makers to analyze and synthesize data. Ontologies (and, more specifically, OWL ontologies) are a key component of the semantic Web. This paper proposes an approach to represent multidimensional models as OWL DL ontologies. Our approach enables better formalization and inferencing. The ontology may also be used to represent OLAP cubes on the semantic Web.
PRAT, N., AKOKA, J. et COMYN-WATTIAU, I. (2012). Transforming Multidimensional Models into OWL-DL Ontologies. Dans: 6th International Conference on Research Challenges in Information Science (RCIS 2012). Valencia: Institute of Electrical and Electronics Engineers (IEEE), pp. 1-12.