Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Conceptual model for spatial data cubes: A UML profile and its automatic implementation

Abstract : The increasing availability of geo-referenced data has increased the need to enrich OLAP with spatial analysis, leading to the concept of Spatial OLAP (SOLAP). The conceptual modelling of spatial data cubes requires the definition of two kinds of metadata: (i) warehouse metadata that model data structures that maintain integrated data from multiple data sources and (ii) aggregation1 metadata that specify how the warehoused data should be aggregated to meet the analysis goals of decision makers. In this paper we provide a review of existing conceptual spatial data cube models. We highlight some limits of these models concerning the aggregation model design, and their implementation in existing CASE tools and SOLAP architectures. Firstly, we propose a new UML (Unified Modeling Language) profile for modelling complex Spatial Data Warehouses and aggregations. Our profile is implemented in the MagicDraw CASE tool. Secondly, we propose a tool for the automatic implementation of conceptual spatial data cube models, designed using our profile, in a SOLAP architecture. In particular, our solution allows: (i) generating different logical representations of the SDW (Spatial Data Warehouse) model (star schema and snow-flake schema) and (ii) implementing complex SOLAP analysis indicators using MDX (MultiDimensional eXpressions language).
Type de document :
Article dans une revue
Liste complète des métadonnées
Déposant : Migration Irstea Publications <>
Soumis le : samedi 16 mai 2020 - 07:32:33
Dernière modification le : lundi 18 mai 2020 - 14:34:37




K. Boulil, S. Bimonte, François Pinet. Conceptual model for spatial data cubes: A UML profile and its automatic implementation. Computer Standards and Interfaces, Elsevier, 2015, 38, pp.113-132. ⟨10.1016/j.csi.2014.06.004⟩. ⟨hal-02602218⟩



Consultations de la notice