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Spatial OLAP integrity constraints: From UML-Based specification to automatic implementation: Application to energetic data in agriculture

Abstract : Spatial OLAP systems 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 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 energetic indicators.
Mots-clés : OLAP UML OCL
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Article dans une revue
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https://hal.inrae.fr/hal-02599693
Déposant : Migration Irstea Publications <>
Soumis le : samedi 16 mai 2020 - 03:19:17
Dernière modification le : lundi 18 mai 2020 - 14:34:36

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K. Boulil, S. Bimonte, François Pinet. Spatial OLAP integrity constraints: From UML-Based specification to automatic implementation: Application to energetic data in agriculture. Journal of Decision Systems, Abingdon Oxfordshire UK: Routledge Taylor & Francis Group, 2014, 23 (4), pp.460-480. ⟨10.1080/12460125.2014.934120⟩. ⟨hal-02599693⟩

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