Sommaire de la publication

Sommaire de la publication

Bakillah, M., M. Mostafavi, Y. BĂ©dard, 2006, A Semantic Similarity Model for Mapping Between Evolving Geospatial Data Cubes, R. Meersman, Z. Tari, P. Herrero et al. (Eds.):OTM Workshops 2006, LNCS 4278,Springer-Verlag Berlin Heidelberg, pp. 1658-1669

Abstract

In a decision-making context, multidimensional geospatial databases
are very important. They often represent data coming from heterogeneous and
evolving sources. Evolution of multidimensional structures makes difficult,
even impossible answering to temporal queries, because of the lack of relationships
between different versions of spatial cubes created at different time. This
paper proposes a semantic similarity model redefined from a model applied in
the ontological field to establish semantic relations between data cubes. The
proposed model integrates several types of similarity components adapted to
different hierarchical levels of dimensions in multidimensional databases and
also integrates similarity between features of concepts. The proposed model has
been applied to a set of specifications from different inventory in Montmorency
Forest in Canada. Results show that the proposed model improves precision and
recall compared to the original model. Finally, further investigation is suggested
in order to integrate the proposed model to SOLAP tools as future works.