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Answering Top-k Similar Region Queries

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5981))

Abstract

Advances in web technology have given rise to new information retrieval applications. In this paper, we present a model for geographical region search and call this class of query similar region query. Given a spatial map and a query region, a similar region search aims to find the top-k most similar regions to the query region on the spatial map. We design a quadtree based algorithm to access the spatial map at different resolution levels. The proposed search technique utilizes a filter-and-refine manner to prune regions that are not likely to be part of the top-k results, and refine the remaining regions. Experimental study based on a real world dataset verifies the effectiveness of the proposed region similarity measure and the efficiency of the algorithm.

Part of this work was done when the first author worked as an intern in MSRA.

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Sheng, C., Zheng, Y., Hsu, W., Lee, M.L., Xie, X. (2010). Answering Top-k Similar Region Queries. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12026-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-12026-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12025-1

  • Online ISBN: 978-3-642-12026-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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