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Direction-based spatial skyline for retrieving surrounding objects

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Abstract

Retrieval of surrounding data objects has many potential applications in spatial databases including nearby point-of-interest retrieval surrounding a user and digital gaming. This paper presents a novel query, called direction-based spatial skyline (DSS), for retrieving surrounding objects in spatial databases. A DSS query retrieves all surrounding objects from a spatial database that are not directionally dominated by other data objects w.r.t. a given query object. The proposed DSS query is rotationally invariant, fair and stable. The paper also presents efficient algorithms for processing DSS queries in spatial databases by designing novel data pruning techniques using R-Tree data indexing scheme. We conduct extensive experiments using both real and synthetic datasets to demonstrate the effectiveness and efficiency of the proposed algorithms.

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Notes

  1. These vertices are the corner points of the minimum bounding box Rk in R-Tree.

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Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Melbourne, Australia

    Bojie Shen & David Taniar

  2. School of Information and Communication Technology, Griffith University, Southport, Australia

    Md. Saiful Islam & Junhu Wang

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  1. Bojie Shen
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  2. Md. Saiful Islam
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  3. David Taniar
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  4. Junhu Wang
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Correspondence to Bojie Shen or Md. Saiful Islam.

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Shen, B., Islam, M.S., Taniar, D. et al. Direction-based spatial skyline for retrieving surrounding objects. World Wide Web 23, 207–239 (2020). https://doi.org/10.1007/s11280-019-00694-w

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