Towards the definition of spatial data warehouses integrity constraints with spatial OCL

  • Authors:
  • Kamal Boulil;Sandro Bimonte;Hadj Mahboubi;Francois Pinet

  • Affiliations:
  • CEMAGREF, Clermont-Ferrand, France;CEMAGREF, Clermont-Ferrand, France;CEMAGREF, Clermont-Ferrand, France;CEMAGREF, Clermont-Ferrand, France

  • Venue:
  • DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
  • Year:
  • 2010

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Abstract

Spatial Data Warehouses (SDWs) and Spatial OLAP systems are an effective solution to perform multidimensional spatial analysis on geographical data. However, the quality of such analysis heavily depends on the quality of stored data. Due to this, some works have been attempted to address the issues of data quality of SDWs using Integrity Constraints (ICs). In this paper, we propose a conceptual framework for SDW ICs based on two new classifications. Moreover, we describe the Model-Driven Architecture (MDA)-based specification and implementation of some IC classes using the Object Constraint Language (OCL) and an MDA-based code generator, called Spatial OCL2SQL