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The datAcron Ontology for Semantic Trajectories

  • Georgios M. Santipantakis
  • George A. Vouros
  • Apostolos Glenis
  • Christos Doulkeridis
  • Akrivi Vlachou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10577)

Abstract

Motivated by real-life emerging needs in critical domains, this paper proposes a coherent and generic ontology for the representation of semantic trajectories, in association with related events and contextual information. The main contribution of the proposed ontology is the representation of semantic trajectories at different levels of spatio-temporal analysis.

Notes

Acknowledgement

This work is supported by the datAcron project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 687591.

References

  1. 1.
    Alvares, L.O., Bogorny, V., Kuijpers, B., de Macêdo, J.A.F., Moelans, B., Vaisman, A.A.: A model for enriching trajectories with semantic geographical information. In: GIS, p. 22 (2007)Google Scholar
  2. 2.
    Baglioni, M., de Macêdo, J.A.F., Renso, C., Trasarti, R., Wachowicz, M.: Towards semantic interpretation of movement behavior. In: Sester, M., Bernard, L., Paelke, V. (eds.) Advances in GIScience. Lecture Notes in Geoinformation and Cartography, pp. 271–288. Springer, Heidelberg (2009).  https://doi.org/10.1007/978-3-642-00318-9_14CrossRefGoogle Scholar
  3. 3.
    Bogorny, V., Renso, C., de Aquino, A.R., de Lucca Siqueira, F., Alvares, L.O.: Constant - a conceptual data model for semantic trajectories of moving objects. Trans. GIS 18(1), 66–88 (2014)CrossRefGoogle Scholar
  4. 4.
    Fileto, R., May, C., Renso, C., Pelekis, N., Klein, D., Theodoridis, Y.: The baquara\({}^{\text{2 }}\) knowledge-based framework for semantic enrichment and analysis of movement data. Data Knowl. Eng. 98, 104–122 (2015)CrossRefGoogle Scholar
  5. 5.
    Kotis, K., Vouros, G.A.: Human-centered ontology engineering: the HCOME methodology. Knowl. Inf. Syst. 10(1), 109–131 (2006)CrossRefGoogle Scholar
  6. 6.
    Nogueira, T.P., Martin, H.: Querying semantic trajectory episodes. In: Proceedings of MobiGIS, pp. 23–30 (2015)Google Scholar
  7. 7.
    Parent, C., Spaccapietra, S., Renso, C., Andrienko, G.L., Andrienko, N.V., Bogorny, V., Damiani, M.L., Gkoulalas-Divanis, A., de Macêdo, J.A.F., Pelekis, N., Theodoridis, Y., Yan, Z.: Semantic trajectories modeling and analysis. ACM Comput. Surv. 45(4), 42 (2013)CrossRefGoogle Scholar
  8. 8.
    Spaccapietra, S., Parent, C., Damiani, M.L., de Macêdo, J.A.F., Porto, F., Vangenot, C.: A conceptual view on trajectories. Data Knowl. Eng. 65(1), 126–146 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Georgios M. Santipantakis
    • 1
  • George A. Vouros
    • 1
  • Apostolos Glenis
    • 1
  • Christos Doulkeridis
    • 1
  • Akrivi Vlachou
    • 1
  1. 1.University of PiraeusPiraeusGreece

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