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The datAcron Ontology for the Specification of Semantic Trajectories

Specification of Semantic Trajectories for Data Transformations Supporting Visual Analytics

  • Original Article
  • Published:
Journal on Data Semantics

Abstract

As the number of moving objects increases, the challenges for achieving operational goals w.r.t. the mobility in many domains that are critical to economy and safety emerge dramatically. In domains such as air traffic management, this dictates a shift of operations’ paradigm from location based, as it is today, to trajectory based, where trajectories are turned into “first-class citizens”. Additionally, the increasing amount of data from heterogenous and disparate data sources implies the need for advanced analysis methods that require exploiting spatio-temporal mobility data in appropriate forms and at varying levels of abstraction. All these call for an in-principle way for organising integrated views of mobility data, with trajectories playing the main role. In this paper, we propose an ontology for modelling semantic trajectories, integrating spatio-temporal information regarding mobility of objects, at multiple, interlinked levels of abstraction. Our work builds upon a comprehensive framework that identifies fundamental spatio-temporal data types and specific conversions among these types. We validate the ontological specifications towards satisfying the needs of visual analysis tasks in the complex air traffic management domain, using real-world data.

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Notes

  1. http://ai-group.ds.unipi.gr/datacron_ontology/.

  2. In datAcron, we construct actual trajectories after compression of the raw data. In general, different applications may have different requirements in aggregating raw data.

  3. Publicly available online at https://geographiclib.sourceforge.io/.

  4. Optimising the efficiency of query answering is beyond the scope of this work, and we study this elsewhere [32].

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Acknowledgements

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.

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Authors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    George A. Vouros, Georgios M. Santipantakis, Christos Doulkeridis & Akrivi Vlachou

  2. Institute IAIS Fraunhofer, St. Augustin, Germany

    Gennady Andrienko, Natalia Andrienko & Georg Fuchs

  3. CRIDA, Madrid, Spain

    Jose Manuel Cordero Garcia & Miguel Garcia Martinez

Authors
  1. George A. Vouros
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  2. Georgios M. Santipantakis
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  3. Christos Doulkeridis
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  4. Akrivi Vlachou
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  5. Gennady Andrienko
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  6. Natalia Andrienko
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  9. Miguel Garcia Martinez
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Correspondence to George A. Vouros.

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Vouros, G.A., Santipantakis, G.M., Doulkeridis, C. et al. The datAcron Ontology for the Specification of Semantic Trajectories. J Data Semant 8, 235–262 (2019). https://doi.org/10.1007/s13740-019-00108-0

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