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GeoCache: A Cache for GML Geographical Data

Author

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  • Lionel Savary

    (PRiSM Laboratory, France)

  • Georges Gardarin

    (PRiSM Laboratory, France)

  • Karine Zeitouni

    (PRiSM Laboratory, France)

Abstract

GML is a promising model for integrating geodata within data warehouses. The resulting databases are generally large and require spatial operators to be handled. Depending on the size of the target geographical data and the number and complexity of operators in a query, the processing time may quickly become prohibitive. To optimize spatial queries over GML encoded data, this chapter introduces a novel cache-based architecture. A new cache replacement policy is then proposed. It takes into account the containment properties of geographical data and predicates, and allows evicting the most irrelevant values from the cache. Experiences with the GeoCache prototype show the effectiveness of the proposed architecture with the associated replacement policy, compared to existing works.

Suggested Citation

  • Lionel Savary & Georges Gardarin & Karine Zeitouni, 2007. "GeoCache: A Cache for GML Geographical Data," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 3(1), pages 67-88, January.
    • Handle: RePEc:igg:jdwm00:v:3:y:2007:i:1:p:67-88
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