Data warehouses are based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers analyze multidimensional data. Users need to consider data at different aggregation levels. However, current conceptual multidimensional models poorly represent aggregation knowledge. This paper presents an approach combining objects (UML class diagrams) with rules (expressed with the Production Rules Representation language - PRR) to represent aggregation knowledge. We present the class diagrams, and a typology and examples of associated rules. Link to the article
PRAT, N., WATTIAU, I. and AKOKA, J. (2011). Combining Objects with Rules to Represent Aggregation Knowledge in Data Warehouse and OLAP Systems. Data and Knowledge Engineering, 70(8), pp. 732-752.