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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1141-1144
Luca Leonardi , Dept. of Informatics, University Ca' Foscari Venezia, Italy
Gerasimos Marketos , Dept. of Informatics, University of Piraeus, Greece
Elias Frentzos , Dept. of Informatics, University of Piraeus, Greece
Nikos Giatrakos , Dept. of Informatics, University of Piraeus, Greece
Salvatore Orlando , Dept. of Informatics, University Ca' Foscari Venezia, Italy
Nikos Pelekis , Dept. of Informatics, University of Piraeus, Greece
Alessandra Raffaeta , Dept. of Informatics, University Ca' Foscari Venezia, Italy
Alessandro Roncato , Dept. of Informatics, University Ca' Foscari Venezia, Italy
Claudio Silvestri , Dept. of Informatics, University Ca' Foscari Venezia, Italy
Yannis Theodoridis , Dept. of Informatics, University of Piraeus, Greece
ABSTRACT
Technological advances in sensing technologies and wireless telecommunication devices enable novel research fields related to the management of trajectory data. As it usually happens in the data management world, the challenge after storing the data is the implementation of appropriate analytics for extracting useful knowledge. However, traditional data warehousing systems and techniques were not designed for analyzing trajectory data. Thus, in this work, we demonstrate a framework that transforms the traditional data cube model into a trajectory warehouse. As a proof-of-concept, we implemented T-WAREHOUSE, a system that incorporates all the required steps for Visual Trajectory Data Warehousing, from trajectory reconstruction and ETL processing to Visual OLAP analysis on mobility data.
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CITATION

A. Raffaeta et al., "T-Warehouse: Visual OLAP analysis on trajectory data," 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)(ICDE), Long Beach, CA, USA, 2010, pp. 1141-1144.
doi:10.1109/ICDE.2010.5447749
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