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Akademický článek

A model management system (MMS) for the design and operation of production lines.

Autor: Papadopoulos, H. T.¹, Vouros, G. A.¹

Publikováno v: International Journal of Production Research. Aug1997, Vol. 35 Issue 8, p2213-2236. 24p.

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The datAcron Ontology for the Specification of Semantic Trajectories

Autor: Vouros, G. A., Santipantakis, G. M., Doulkeridis, C., Vlachou, A., Andrienko, G., Andrienko, N., Fuchs, G., Cordero Garcia, J. M., Martinez, M. G.

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 shif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::fc899bd3a3d0cf063fcf073da923a88f
https://openaccess.city.ac.uk/id/eprint/23210/1/DataSemantics.pdf

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Visual analytics of flight trajectories for uncovering decision making strategies

Autor: Andrienko, G., Andrienko, N., Fuchs, G., Scarlatti, D., Cordero Garcia, J. M., Vouros, G. A., Herranz, R., Marcos, R.

Publikováno v: SESAR Innovation Days

In air traffic management and control, movement data describing actual and planned flights are used for planning, monitoring and post-operation analysis purposes with the goal of increased efficient utilization of air space capacities (in terms of de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::fdb02befee338e28e144b39a9ca05318
https://openaccess.city.ac.uk/id/eprint/23796/1/and-SID2018.pdf

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Big data analytics for time critical maritime and aerial mobility forecasting

The correlated exploitation of heterogeneous data sources offering very large archival and streaming data is important to increase the accuracy of computations when analysing and predicting future states of moving entities. Aiming to significantly ad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7569dc4690835ff2d240cf81161f50b1
https://openaccess.city.ac.uk/id/eprint/22887/1/paper-343.pdf

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AI in Greece: The case of research on linked geospatial data

Autor: Koubarakis, M. Vouros, G. Chalkiadakis, G. Plagianakos, V. Tjortjis, C. Kavallieratou, E. Vrakas, D. Mavridis, N. Petasis, G. Blekas, K. Krithara, A.

We survey the AI research carried out in Greece recently. We concentrate on the case of linked geospatial data, an area with significant practical importance, very interesting research results, and implemented systems developed by a Greek research te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::6a21f962659f7c5e05f300900d79d5be
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3070926

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Increasing maritime situation awareness via trajectory detection, enrichment and recognition of events

Autor: Vouros, G., Vlachou, A., Santipantakis, G., Doulkeridis, C., Pelekis, N., Georgiou, H., Theodoridis, Y., Patroumpas, K., Alevizos, E., Artikis, A., Fuchs, G., Mock, M., Andrienko, G., Andrienko, N., Claramunt, C., Ray, C., Camossi, E., Jousselme, A-L.

The research presented in this paper aims to show the deployment and use of advanced technologies towards processing surveillance data for the detection of events, contributing to maritime situation awareness via trajectories’ detection, synopses g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::1d014bf195e90b7caec5bcda01209eaa
https://openaccess.city.ac.uk/id/eprint/20034/1/datacron-paper.pdf

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Big Data Management And Analytics For Mobility Forecasting In Datacron

Autor: Doulkeridis, C., Pelekis, N., Yannis Theodoridis, Vouros, G. A.

Publikováno v: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT) 2017
Scopus-Elsevier

The exploitation of heterogeneous data sources offering very large historical and streaming data is important to increasing the accuracy of operations when analysing and predicting future states of moving entities (planes, vessels, etc.). This articl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff2707940d87483004688f657318414
https://doi.org/10.5281/zenodo.814798

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