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On Data Warehouse and GIS Integration

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Book cover Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

A system composed of a data warehouse (DWH) integrated with geographical information system (GIS) yields significant advantages and introduces a new decision making support quality. The advantages, drawbacks and implementation strategies of the integrated system are discussed.

This paper attempts to identify necessary requirements for functionality of the integration module in order to provide complete and consistent system interconnection. The solution should be general enough to be easily re-implemented for a large family of GIS and DWH. Within the project, special attention should be dedicated to the methodology of spatial data aggregation. It is necessary to keep in mind that two different types of information can be used to describe spatial data, namely geometric properties (location, area etc.) and topological ones.

A software component, which interconnects these two technologies, is under development within the GOAL research project.

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References

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Author information

Authors and Affiliations

  1. The Gerstner Laboratory for Intelligent Decision Making and Control Faculty of Electrical Engineering, Czech Technical University, Technická 2, 166 27, Prague 6, Czech Republic

    Zdeněk Kouba, Kamil Matoušek & Petr Mikšovský

Authors
  1. Zdeněk Kouba
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  2. Kamil Matoušek
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  3. Petr Mikšovský
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Kouba, Z., Matoušek, K., Mikšovský, P. (2000). On Data Warehouse and GIS Integration. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_56

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  • DOI: https://doi.org/10.1007/3-540-44469-6_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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