OLAPing Field Data: A theoretical and implementation framework

Analyse en ligne des données continues : un cadre théorique et d'implémentation

Bimonte, S. ; Kang, M. ; Paolino, L. ; Sebillo, M. ; Zaamoune, M. ; Vitiello, G.

Type de document
Article de revue scientifique à comité de lecture
Langue
Anglais
Affiliation de l'auteur
IRSTEA CLERMONT FERRAND UR TSCF FRA ; CNRS LIMOS UMR 6158 AUBIERE FRA ; UNIVERSITA DI SALERNO ITA ; UNIVERSITA DI SALERNO ITA ; IRSTEA CLERMONT FERRAND UR TSCF FRA ; UNIVERSITA DI SALERNO ITA
Année
2014
Résumé / Abstract
Integration of spatial data into multidimensional models leads to the concept of Spatial OLAP (SOLAP). Usually, SOLAP models exploit discrete spatial data. Few works integrate continuous field data into dimensions and measures. In this paper, we provide a formal multidimensional model that supports measures and dimension as continuous field data, independently of their implementation. We provide also a proposal for a logical model allowing aggregation of field measures in a feasible ROLAP architecture.
Source
Fundamenta Informaticae, vol. 131, p. 1 - 25

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