Abstract
Spatial OnLine Analytical Processing systems (SOLAP) are Business Intelligence technologies allowing efficient and interactive analysis of large spatial data cubes. In this type of systems, the correctness of analysis depends on the warehoused data quality, how aggregations are performed and how data cubes are explored. In this paper, we study quality control techniques (based on integrity constraints) related to exploration of spatial data cubes. We extend our Unified Modeling Language (UML) framework previously proposed with a UML profile allowing the conceptual design of several classes of exploration integrity constraints. We also propose a tool for their automatic implementation. We validate our proposal in the context of a real case study concerning the analysis of energetic farm indicators.
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