Abstract—Spatial data warehouses store large volumes of consolidated and historized multidimensional spatial data in order to be explored and analyzed by various users. The data exploration is a process of searching relevant information in a data set. The data set to explore is a spatial data cube taken out from the spatial data warehouse that users interrogate by launching sequences of SOLAP (Spatial On-Line Analytical Processing) queries. However, this volume of information can be very large and diversified; it is thus necessary to help the user to face this problem by guiding him/her in his/her spatial data cube exploration in order to find relevant information.

Index Terms—Spatial data, spatial data warehouse, spatial data cube, SOLAP (spatial on-line analytical processing) queries.

The authors are with the Computer science department, High Institute of Management, University of Tunis 41, rue de la Libert, 2000, Tunisia (e-mail: layouni.olfa89@gmail.com, j.akaichi@gmail.com).

Cite:Olfa Layouni and Jalel Akaichi, "A Novel Approach for a Collaborative Exploration of a Spatial Data Cube," International Journal of Computer and Communication Engineering vol. 3, no. 1, pp. 63-68, 2014.