Publicity & videos


cf. Vouros GA: dataACRON, Big Data Analytics for Time Critical Mobility Forecasting, H2020 2017 Impact2017

Project Brochure: “Big Data heralds new era for time-critical mobility forecasting and situation awareness”, Interview to datAcron project coordinator in Impact – European Research Fostering Open Science journal
Adding significant value to real-time tracking and forecasting mobility


  • C. Claramunt, C. Ray, E. Camossi, A-L. Jousselme, M. Hadzagic, G. Andrienko, N. Andrienko, Y. Theodoridis, G. Vouros, L. Salmon : “Maritime data integration and analysis: recent progress and research challenges [Vision paper]”, In proceedings of the 20th International Conference on Extending Database Technology (EDBT 2017), Venice, Italy, March 21-24, 2017. Poster presented at the same conference (poster)
  • G. M. Santipantakis, G. A. Vouros, A. Glenis, C. Doulkeridis, A. Vlachou: “The datAcron Ontology for Semantic Trajectories” Poster paper in Proceedings of the 14th European Semantic Web Conference (ESWC 17), Portoroz, Slovenia., May 28 – June 1 2017 (poster)
  • G.M. Santipantakis, G.A. Vouros, A. Glenis, C. Doulkeridis, A. Vlachou: Generating linked RDF data from heterogeneous streaming and
    archival data sources: Populating the datAcron ontology, Poster in Proceedings of SEMANTiCS 2017, Amsterdam, The Netherlands, 11-14 September 2017 (poster)
  • M. Zocholl, E. Camossi, A-L. Jousselme, C. Ray: Ontology-based Design of Experiments on Big Data Solutions, Poster paper at SEMANTICS 18 14th int’l Conf on Semantic Systems, Vienna, Austria, Sept 10-13, 2018 (poster)


Cyril Ray, Richard Dréo; Elena Camossi, Anne-Laure Jousselme: Heterogeneous Integrated Dataset for Maritime Intelligence, Surveillance, and Reconnaissance (more)


Christophe Claramunt, interview with and presentation of the datAcron Open Session at Sea Tech Week Event

D. Scarlatti: “Big Data Analytics for Time Critical Mobility Forecasting” Complex World Event, Data Science in Aviation Workshop, Cologne, Germany, September 8-9 2016

G. Andrienko, N. Andrienko, G. Fuchs, J. M. Cordero Garcia: “Clustering Trajectories by Relevant Parts for Air Traffic Analysis

Time-Aware Sub-Trajectory Clustering in Hermes@PostgreSQL

P. Tampakis, N. Pelekis, N. Andrienko, G. Andrienko, G. Fuchs and Y. Theodoridis, “Time-Aware Sub-Trajectory Clustering in Hermes@PostgreSQL,” 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, Apr 16- 19, 2018, pp. 1581-1584. doi:10.1109/ICDE.2018.00181