research-article

Context Trees: Augmenting Geospatial Trajectories with Context

Authors:

Alasdair Thomason,

Nathan Griffiths,

Victor SanchezAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 35, Issue 2

Article No.: 14, Pages 1 - 37

https://doi.org/10.1145/2978578

Published: 10 October 2016 Publication History

Abstract

Exposing latent knowledge in geospatial trajectories has the potential to provide a better understanding of the movements of individuals and groups. Motivated by such a desire, this work presents the context tree, a new hierarchical data structure that summarises the context behind user actions in a single model. We propose a method for context tree construction that augments geospatial trajectories with land usage data to identify such contexts. Through evaluation of the construction method and analysis of the properties of generated context trees, we demonstrate the foundation for understanding and modelling behaviour afforded. Summarising user contexts into a single data structure gives easy access to information that would otherwise remain latent, providing the basis for better understanding and predicting the actions and behaviours of individuals and groups. Finally, we also present a method for pruning context trees for use in applications where it is desirable to reduce the size of the tree while retaining useful information.

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Cited By

Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Synthesizing Privacy-Preserving Traces: Enhancing Plausibility with Social NetworksPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_2(25-52)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-58013-0_2
Scalia GFrancalanci CPernici B(2022)CIME: Context-aware geolocation of emergency-related postsGeoinformatica10.1007/s10707-021-00446-x26:1(125-157)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1007/s10707-021-00446-x
Li XHan DHe JLiao LWang M(2019)Next and Next New POI Recommendation via Latent Behavior Pattern InferenceACM Transactions on Information Systems10.1145/335418737:4(1-28)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3354187
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Index Terms

Context Trees: Augmenting Geospatial Trajectories with Context
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems

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cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 35, Issue 2

April 2017

232 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/3001595

Editor:
Maarten de Rijke
University of Amsterdam, The Netherlands

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Publication History

Published: 10 October 2016

Accepted: 01 July 2016

Revised: 01 June 2016

Received: 01 November 2015

Published in TOIS Volume 35, Issue 2

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Cited By

Zhang GZhao PZhang AZhang GZhao PZhang A(2024)Synthesizing Privacy-Preserving Traces: Enhancing Plausibility with Social NetworksPrivacy Preservation in Distributed Systems10.1007/978-3-031-58013-0_2(25-52)Online publication date: 8-Apr-2024
https://doi.org/10.1007/978-3-031-58013-0_2
Scalia GFrancalanci CPernici B(2022)CIME: Context-aware geolocation of emergency-related postsGeoinformatica10.1007/s10707-021-00446-x26:1(125-157)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1007/s10707-021-00446-x
Li XHan DHe JLiao LWang M(2019)Next and Next New POI Recommendation via Latent Behavior Pattern InferenceACM Transactions on Information Systems10.1145/335418737:4(1-28)Online publication date: 19-Sep-2019
https://dl.acm.org/doi/10.1145/3354187
Ma LZhao XZhou ZLiu Y(2018)A new aspect on P2P online lending default prediction using meta-level phone usage data in ChinaDecision Support Systems10.1016/j.dss.2018.05.001111(60-71)Online publication date: Jul-2018
https://doi.org/10.1016/j.dss.2018.05.001
Thomason AGriffiths NSanchez VAli MNewsam SRenz MTrajcevski GRavada S(2016)Predicting interactions and contexts with context treesProceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2996913.2996993(1-4)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/2996913.2996993

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