A UML & Spatial OCL based approach for handling quality issues in SOLAP systems
Une approche basée sur UML et Spatial OCL pour la gestion de la qualité dans les systèmes SOLAP
Résumé
Spatial Data warehouses and Spatial OLAP systems are Business Intelligence technologies allowing efficient and interactive analysis of large geo-referenced datasets. In such a kind of systems the goodness of analysis depends on: The warehoused data quality, how aggregations are performed, and how warehoused data are explored. In this paper, we propose a framework based on a UML profile and OCL-defined integrity constraints to grant quality in the whole SOLAP system. We also propose an automatic implementation in a classical ROLAP architecture to validate our proposal.