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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10646

Title: What Is Spatio-Temporal Data Warehousing?
Authors: Zimányi, Esteban
VAISMAN, Alejandro
Issue Date: 2009
Publisher: Springer-Verlag
Citation: Pedersen, Torben Bach & Mohania, Mukesh K & Tjoa, A Min (Ed.) Data Warehousing and Knowledge Discovery. Proceedings of the 11th International Conference Data Warehousing and Knowledge Discovery, DaWaK 2009. p. 9-23.
Series/Report: Lecture Notes in Computer Science, 5691
Abstract: In the last years, extending OLAP (On-Line Analytical Processing) systems with spatial and temporal features has attracted the attention of the GIS (Geographic Information Systems) and database communities. However, there is no a commonly agreed definition of what is a spatio-temporal data warehouse and what functionality such a data warehouse should support. Further, the solutions proposed in the literature vary considerably in the kind of data that can be represented as well as the kind of queries that can be expressed. In this paper we present a conceptual framework for defining spatio-temporal data warehouses using an extensible data type system. We also define a taxonomy of different classes of queries of increasing expressive power, and show how to express such queries using an extension of the tuple relational calculus with aggregated functions.
Notes: Reprint Address: Vaisman, A (reprint author), Univ Buenos Aires, RA-1053 Buenos Aires, DF Argentina, Universidad de Buenos Aires, University of Hasselt and, Transnational University of Limburg - Esteban Zimányi, Université Libre de Bruxelles
URI: http://hdl.handle.net/1942/10646
Link to publication: 10.1007/978-3-642-03730-6_2
DOI: 10.1007/978-3-642-03730-6_2
ISI #: 000273239000002
ISBN: 978-3-642-03729-0
ISSN: 0302-9743
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2011
Appears in Collections: Research publications

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