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International Symposium on Web and Wireless Geographical Information Systems

W2GIS 2022: Web and Wireless Geographical Information Systems pp 1–17Cite as

Multiple Views Extraction from Semantic Trajectories

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13238))

Abstract

The interest in exploiting crowd-sourced location information has recently emerged as it can bring many valuable benefits. This is particularly the case where multi-dimensional semantic information represent human trajectories and contextual information arising in indoor and outdoor spaces. Users have different interests when interpreting and analysing trajectories. While some users just want to visualise the data, others require either higher-level information or aggregated knowledge. This paper introduces a modelling approach and data manipulation mechanisms that extract from generic semantic trajectories multiple views at different levels of abstraction to produce hybrid spatial representation for mobility patterns. This approach considers a multi-layered graph representation for trajectories according to some given spatio-temporal, contextual and user-defined criteria. The approach has been experimented with real data and implemented within a graph database that illustrates its potential.

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Authors and Affiliations

  1. Naval Academy Research Institute, Brest, France

    Hassan Noureddine, Cyril Ray & Christophe Claramunt

Authors
  1. Hassan Noureddine
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  2. Cyril Ray
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  3. Christophe Claramunt
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Corresponding author

Correspondence to Hassan Noureddine .

Editor information

Editors and Affiliations

  1. Institute of Science and Technology Austria, Klosterneuburg, Austria

    Farid Karimipour

  2. Universität Konstanz, Konstanz, Baden-Württemberg, Germany

    Sabine Storandt

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Noureddine, H., Ray, C., Claramunt, C. (2022). Multiple Views Extraction from Semantic Trajectories. In: Karimipour, F., Storandt, S. (eds) Web and Wireless Geographical Information Systems. W2GIS 2022. Lecture Notes in Computer Science, vol 13238. Springer, Cham. https://doi.org/10.1007/978-3-031-06245-2_1

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  • DOI: https://doi.org/10.1007/978-3-031-06245-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06244-5

  • Online ISBN: 978-3-031-06245-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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