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Adding Meaning to Your Steps (Keynote Paper)

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Conceptual Modeling – ER 2011 (ER 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6998))

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Abstract

Mobility data is becoming an important player in many application domains. Many techniques have been elaborated to extract statistical knowledge from the data sets gathering raw data tracks about the moving objects of interest to an application. These data tracks obey the physical-level specifications of the devices used for data acquisition (GPS, GSM, RFID, smart phones, and other sensors). Nowadays, interest has shifted from raw data tracks analysis to more application-oriented ways of analyzing more meaningful movement records suitable for the specific purposes of the application at hand. This trend has promoted the concept of semantically rich trajectories, rather than raw movement, as the core object of interest in mobility studies.

This keynote paper intends to provide the foundations of a semantic approach to data about movement. It focuses on the definitions of the most important concepts about mobility data, concepts that are frequently used but rarely rigorously defined.

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Author information

Authors and Affiliations

  1. IC, Swiss Federal Institute of Technology (EPFL), Station 14, 1015, Lausanne, Switzerland

    Stefano Spaccapietra

  2. HEC-ISI, University of Lausanne, 1015, Dorigny, Switzerland

    Christine Parent

Authors
  1. Stefano Spaccapietra
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  2. Christine Parent
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Editor information

Editors and Affiliations

  1. Tilburg University, Warandelaan 2, 5037, Tilburg, AB, The Netherlands

    Manfred Jeusfeld

  2. Department of Computer Science, Portland State University, Portland, OR, USA

    Lois Delcambre

  3. School of Computing, National University of Singapore, Singapore

    Tok-Wang Ling

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Spaccapietra, S., Parent, C. (2011). Adding Meaning to Your Steps (Keynote Paper). In: Jeusfeld, M., Delcambre, L., Ling, TW. (eds) Conceptual Modeling – ER 2011. ER 2011. Lecture Notes in Computer Science, vol 6998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24606-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-24606-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24605-0

  • Online ISBN: 978-3-642-24606-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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