research-article

Spatial Consensus Queries in a Collaborative Environment

Authors:

Mohammed Eunus Ali,

Peter Scheuermann,

Sarana Nutanong,

Lars KulikAuthors Info & Claims

ACM Transactions on Spatial Algorithms and Systems (TSAS), Volume 2, Issue 1

Article No.: 3, Pages 1 - 37

https://doi.org/10.1145/2829943

Published: 30 March 2016 Publication History

Abstract

We introduce a new type of query for a location-based social network platform. Consider a scenario in which a group of users is trying to find a common meeting location, yet attempting to include all group members is introducing a significant traveling cost to most of them. In this article, we formulate a new query type called the consensus query, which can be used to help users explore these trade-off options to find a solution upon which everyone can agree. Specifically, we study the problem of evaluating consensus queries in the context of nearest neighbor queries, where the group is interested in finding a meeting place that minimizes the travel distance for at least a specified number of group members. To help the group in selecting a suitable solution, the major challenge is to find optimal subgroups of all allowable subgroup sizes, i.e., greater or equal to the minimum specified subgroup size, that minimize the travel distances. We develop incremental algorithms to evaluate in one pass the optimal query subgroups of different sizes along with their corresponding nearest data points. These subsets, which are evaluated by the location-based service provider, constitute the answer set that is returned to the group. The group then collaboratively selects the final answer from the candidate answer set. An extensive experimental study shows the efficiency and effectiveness of our proposed techniques.

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Cited By

D’Ulizia AGrifoni PFerri F(2021)Query Processing of Geosocial Data in Location-Based Social NetworksISPRS International Journal of Geo-Information10.3390/ijgi1101001911:1(19)Online publication date: 30-Dec-2021
https://doi.org/10.3390/ijgi11010019
Apon SAli MGhosh BSellis T(2021)Social-Spatial Group Queries with KeywordsACM Transactions on Spatial Algorithms and Systems10.1145/34759628:1(1-32)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3475962
Chen ZYao BWang ZGao XShang SMa SGuo M(2021)Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road NetworksIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.297599833:12(3701-3715)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TKDE.2020.2975998
Show More Cited By

Index Terms

Spatial Consensus Queries in a Collaborative Environment
1. Information systems
  1. Data management systems

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Published In

cover image ACM Transactions on Spatial Algorithms and Systems

ACM Transactions on Spatial Algorithms and Systems Volume 2, Issue 1

April 2016

150 pages

ISSN:2374-0353

EISSN:2374-0361

DOI:10.1145/2903758

Editor:
Hanan Samet
University of Maryland, College Park

Issue’s Table of Contents

Copyright © 2016 ACM.

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

Publication History

Published: 30 March 2016

Accepted: 01 September 2015

Revised: 01 July 2015

Received: 01 March 2014

Published in TSAS Volume 2, Issue 1

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Cited By

D’Ulizia AGrifoni PFerri F(2021)Query Processing of Geosocial Data in Location-Based Social NetworksISPRS International Journal of Geo-Information10.3390/ijgi1101001911:1(19)Online publication date: 30-Dec-2021
https://doi.org/10.3390/ijgi11010019
Apon SAli MGhosh BSellis T(2021)Social-Spatial Group Queries with KeywordsACM Transactions on Spatial Algorithms and Systems10.1145/34759628:1(1-32)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3475962
Chen ZYao BWang ZGao XShang SMa SGuo M(2021)Flexible Aggregate Nearest Neighbor Queries and its Keyword-Aware Variant on Road NetworksIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.297599833:12(3701-3715)Online publication date: 1-Dec-2021
https://doi.org/10.1109/TKDE.2020.2975998
Islam MShen BWang CTaniar DWang J(2020)Efficient processing of reverse nearest neighborhood queries in spatial databasesInformation Systems10.1016/j.is.2020.10153092(101530)Online publication date: Sep-2020
https://doi.org/10.1016/j.is.2020.101530
Ghosh BAli MChoudhury FApon SSellis TLi J(2018)The flexible socio spatial group queriesProceedings of the VLDB Endowment10.14778/3282495.328249712:2(99-111)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.14778/3282495.3282497
Hashem TAli M(2017)Trip Planning and Scheduling Queries in Spatial Databases: A SurveyBig Data Analytics10.1007/978-3-319-72413-3_11(164-178)Online publication date: 12-Dec-2017
https://dl.acm.org/doi/10.1007/978-3-319-72413-3_11
Ahmad SKamal RAli MQi JScheuermann PTanin E(2017)The Flexible Group Spatial Keyword QueryDatabases Theory and Applications10.1007/978-3-319-68155-9_1(3-16)Online publication date: 20-Sep-2017
https://doi.org/10.1007/978-3-319-68155-9_1

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