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Maritime data integration and analysis

Recent progress and research challenges
 
: Claramunt, C.; Ray, C.; Camossi, E.; Salmon, L.; Jousselme, A.-L.; Hadzagic, M.; Andrienko, G.; Andrienko, N.; Theodoridis, Y.; Vouros, G.; Salmon, L.

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Volltext ()

Markl, V.:
Advances in database technology - EDBT 2017 : 20th International Conference on Extending Database Technology, Venice, Italy, March 21-24, 2017. Proceedings
Konstanz: Universität Konstanz, 2017
ISBN: 978-3-89318-073-8
S.192-197
International Conference on Extending Database Technology (EDBT) <20, 2017, Venice>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
The correlated exploitation of heterogeneous data sources offering very large historical as well as streaming data is important to increasing the accuracy of computations when analysing and predicting future states of moving entities. This is particularly critical in the maritime domain, where online tracking, early recognition of events, and real-time forecast of anticipated trajectories of vessels are crucial to safety and operations at sea. The objective of this paper is to review current research challenges and trends tied to the integration, management, analysis, and visualization of objects moving at sea as well as a few suggestions for a successful development of maritime forecasting and decision-support systems.

: http://publica.fraunhofer.de/dokumente/N-502913.html