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Journal on Data Semantics

, Volume 8, Issue 4, pp 235–262 | Cite as

The datAcron Ontology for the Specification of Semantic Trajectories

Specification of Semantic Trajectories for Data Transformations Supporting Visual Analytics
  • George A. VourosEmail author
  • Georgios M. Santipantakis
  • Christos Doulkeridis
  • Akrivi Vlachou
  • Gennady Andrienko
  • Natalia Andrienko
  • Georg Fuchs
  • Jose Manuel Cordero Garcia
  • Miguel Garcia Martinez
Original Article

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.

Notes

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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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • George A. Vouros
    • 1
    Email author
  • Georgios M. Santipantakis
    • 1
  • Christos Doulkeridis
    • 1
  • Akrivi Vlachou
    • 1
  • Gennady Andrienko
    • 2
  • Natalia Andrienko
    • 2
  • Georg Fuchs
    • 2
  • Jose Manuel Cordero Garcia
    • 3
  • Miguel Garcia Martinez
    • 3
  1. 1.Department of Digital SystemsUniversity of PiraeusPiraeusGreece
  2. 2.Institute IAIS FraunhoferSt. AugustinGermany
  3. 3.CRIDAMadridSpain

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