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Processing probabilistic spatio-temporal range queries over moving objects with uncertainty

Published: 24 March 2009 Publication History

Abstract

Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that an object only moves along an anticipated path. In this paper, we study the problem of answering probabilistic range queries on moving objects based on an uncertainty model, which captures the possible movements of objects with probabilities. Evaluation of probabilistic queries is challenging due to large objects volume and costly computation. We map the uncertain movements of all objects to a dual space for indexing. By querying the index, we quickly eliminate unqualified objects and employ an approximate approach to examine the remaining candidates for final answer. We conduct a comprehensive performance study, which shows our proposal significantly reduces the number of object examinations and the overall cost of the query evaluation.

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  • (2019)Distributed Processing of Location-Based Aggregate Queries Using MapReduceISPRS International Journal of Geo-Information10.3390/ijgi80903708:9(370)Online publication date: 23-Aug-2019
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cover image ACM Other conferences
EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
March 2009
1180 pages
ISBN:9781605584225
DOI:10.1145/1516360
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 24 March 2009

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EDBT/ICDT '09
EDBT/ICDT '09: EDBT/ICDT '09 joint conference
March 24 - 26, 2009
Saint Petersburg, Russia

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Overall Acceptance Rate 7 of 10 submissions, 70%

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Cited By

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  • (2024)Efficient processing of all neighboring object group queries with budget range constraint in road networksComputing10.1007/s00607-024-01260-7106:5(1359-1393)Online publication date: 16-Feb-2024
  • (2022)Path–Based Continuous Spatial Keyword QueriesComplexity10.1155/2022/40912452022(1-19)Online publication date: 10-Jun-2022
  • (2019)Distributed Processing of Location-Based Aggregate Queries Using MapReduceISPRS International Journal of Geo-Information10.3390/ijgi80903708:9(370)Online publication date: 23-Aug-2019
  • (2017)Efficient Evaluation of Shortest Average Distance Query on Heterogeneous Neighboring Objects in Road NetworksProceedings of the 21st International Database Engineering & Applications Symposium10.1145/3105831.3105848(209-218)Online publication date: 12-Jul-2017
  • (2017)Location-Based Aggregate Queries for Heterogeneous Neighboring ObjectsIEEE Access10.1109/ACCESS.2017.26884725(4887-4899)Online publication date: 2017
  • (2017)On repairing and querying inconsistent probabilistic spatio-temporal databasesInternational Journal of Approximate Reasoning10.1016/j.ijar.2017.02.00384:C(41-74)Online publication date: 1-May-2017
  • (2017)Efficient processing of intelligent probabilistic collision detection queriesComputing10.1007/s00607-016-0516-799:4(383-404)Online publication date: 1-Apr-2017
  • (2016)SMeGeoinformatica10.1007/s10707-015-0230-120:1(19-58)Online publication date: 1-Jan-2016
  • (2015)Shortest Average-Distance Query on Heterogeneous Neighboring ObjectsProceedings of the 19th International Database Engineering & Applications Symposium10.1145/2790755.2790767(116-125)Online publication date: 13-Jul-2015
  • (2015)Probabilistic Range Query over Uncertain Moving Objects in Constrained Two-Dimensional SpaceIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2014.234540227:3(866-879)Online publication date: 1-Mar-2015
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