Istituto di Scienza e Tecnologie dell'Informazione     
Orlando S., Orsini R., Raffaetą A., Roncato A., Silvestri C. Spatio-temporal aggregations in trajectory data warehouses. In: Data Warehousing and Knowledge Discovery . 9th International Conference on Data Warehousing and Knowledge Discovery, DaWaK '07 (Regensburg, Germany, 3-7 September 2007). Proceedings, pp. 66 - 77. Il Yeal Song, Johann Eder and Tho Manh Nguyen (eds.). (Lecture Notes in Computer Science, vol. 4654). Springer, 2007.
In this paper we investigate some issues related to the design of a simple Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an unpredictable and unbounded way. Then, we focus on the measure presence, the most complex measure stored in our DW. Such a measure returns the number of trajectories that lie in a spatial region during a given temporal interval. We devise a novel way to compute an approximate, but very accurate, presence aggregate function, which algebraically combines a bounded amount of measures stored in the base cells of the data cube.
URL: http://www.springerlink.com/content/j338q8gk82852951/fulltext.pdf
DOI: 10.1007/978-3-540-74553-2
Subject Data Warehouses
Trajectory Data
Moving Objects
H.2.8 Database Applications

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