Un modèle UML et des contraintes OCL pour les entrepôts de données spatiales. De la représentation conceptuelle à l'implémentation

Abstract

Spatial Data Warehouses (SDW) and Spatial OLAP (SOLAP) systems represent an effective solution to perform spatial analysis on geographical phenomena. However, the quality of such analysis heavily depends on the quality of stored data and how these data are explored: how the different indicators are computed (What aggregate functions are applied to summarize the measures and in what order these functions are applied?). In this context, a number of studies have been attempted to address the issues of data quality in SDW by using Integrity Constraints (IC). In this paper, motivated by the lack of Model Driven Architecture (MDA)-based implementations, we propose a conceptual framework based on two new classifications to ease identification and implementation of SDW IC. Moreover, following an MDA approach, we propose the MDA-based modeling of most IC categories using the UML (Unified Modeling Language) and OCL (Object Constraint Language) standard languages; and show the automatic implementation of some IC classes using an MDA-based code generator, called Spatial OCL2SQL.