poster

Optimizing Continuous kNN Queries over Large-Scale Spatial-Textual Data Streams

Authors:

Baoning NiuAuthors Info & Claims

SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems

Pages 183 - 186

https://doi.org/10.1145/3397536.3422225

Published: 13 November 2020 Publication History

Abstract

The continuous k-Nearest Neighbor queries over spatial-textual data streams (abbr. CkQST) retrieve and continuously monitor at most k nearest neighbor (abbr. kNN) objects to the user-specified location containing all the user-specified keywords, which is the core operation of numerous location-based publish/subscribe systems. Such a system is usually subscribed with a massive number of CkQST and evaluated simultaneously whenever new objects are incoming and old objects are expiring. The approach to evaluating CkQST is to construct a spatial-textual hybrid index for subscribed queries and matching the incoming objects utilizing the filtering capabilities of the index. For CkQST, the minimal spatial search range covering kNN objects changes frequently with the arrival and expiration of qualified objects, and the cost of updating the index is prohibitively high. To efficiently evaluate CkQST, we extend Quad-tree with an inverted index, and exploit it with three techniques, i.e. a memory-based cost model, a block-based ordered inverted index and an adaptive insertion strategy. The experiments on comprehensive datasets demonstrate the effectiveness and efficiency of our proposed techniques.

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Cited By

Orabi MAl Aghbari ZKamel I(2024)SkyEye: continuous processing of moving spatial-keyword queries over moving objectsGeoinformatica10.1007/s10707-024-00512-028:4(559-603)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1007/s10707-024-00512-0
Orabi MAl Aghbari ZKamel IMouheb D(2024)Keeping an eye on moving objects: processing continuous spatial-keyword range queriesGeoinformatica10.1007/s10707-023-00499-028:1(117-143)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s10707-023-00499-0
Orabi MAl Aghbari ZKamel I(2023)FogLBSPervasive and Mobile Computing10.1016/j.pmcj.2023.10183294:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.pmcj.2023.101832

Index Terms

Optimizing Continuous kNN Queries over Large-Scale Spatial-Textual Data Streams
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Data streaming

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cover image ACM Conferences

SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems

November 2020

687 pages

ISBN:9781450380195

DOI:10.1145/3397536

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2020

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National Natural Science Foundation of China

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SIGSPATIAL '20

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SIGSPATIAL

SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems

November 3 - 6, 2020

WA, Seattle, USA

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Cited By

Orabi MAl Aghbari ZKamel I(2024)SkyEye: continuous processing of moving spatial-keyword queries over moving objectsGeoinformatica10.1007/s10707-024-00512-028:4(559-603)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1007/s10707-024-00512-0
Orabi MAl Aghbari ZKamel IMouheb D(2024)Keeping an eye on moving objects: processing continuous spatial-keyword range queriesGeoinformatica10.1007/s10707-023-00499-028:1(117-143)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s10707-023-00499-0
Orabi MAl Aghbari ZKamel I(2023)FogLBSPervasive and Mobile Computing10.1016/j.pmcj.2023.10183294:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.pmcj.2023.101832

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