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International Conference on Data Warehousing and Knowledge Discovery

DaWaK 2009: Data Warehousing and Knowledge Discovery pp 9–23Cite as

What Is Spatio-Temporal Data Warehousing?

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 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.

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Author information

Authors and Affiliations

  1. Universidad de Buenos Aires, University of Hasselt and, Transnational University of Limburg, Belgium

    Alejandro Vaisman

  2. Université Libre de Bruxelles, Belgium

    Esteban Zimányi

Authors
  1. Alejandro Vaisman
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  2. Esteban Zimányi
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Aalborg University, Selma Lagerlöfsvej 300, 9220, Aalborg Ø, Denmark

    Torben Bach Pedersen

  2. IBM India Research Lab, Plot No. 4, Block C, Institutional Area, Vasant Kunj, 110 070, New Delhi, India

    Mukesh K. Mohania

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11/188, 1040, Wien, Austria

    A Min Tjoa

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© 2009 Springer-Verlag Berlin Heidelberg

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Vaisman, A., Zimányi, E. (2009). What Is Spatio-Temporal Data Warehousing?. In: Pedersen, T.B., Mohania, M.K., Tjoa, A.M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2009. Lecture Notes in Computer Science, vol 5691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03730-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-03730-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03729-0

  • Online ISBN: 978-3-642-03730-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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