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The datAcron Ontology for the Specification of Semantic Trajectories

Vouros, G. A., Santipantakis, G. M., Doulkeridis, C. , Vlachou, A., Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Fuchs, G., Cordero Garcia, J. M. & Martinez, M. G. (2019). The datAcron Ontology for the Specification of Semantic Trajectories. Journal on Data Semantics, doi: 10.1007/s13740-019-00108-0


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.

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in Journal on Data Semantics. The final authenticated version is available online at:
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
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