|Authors:||Claramunt C, Ray C, Camossi E, Jousselme A-L, Hadzagic M, Andrienko G, Andrienko N, Theodoridis Y, Vouros G, Salmon L|
|Title:||Maritime data integration and analysis: recent progress and research challenges|
The correlated exploitation of multiple, disparate, heterogeneous data sources offering voluminous archival and streaming data is important to increasing the accuracy of computations concerning the current and future states of moving entities, towards accurate long-term predictions. This is critical to the maritime domain, where real-time tracking of trajectories and early recognition of events related to vessels, together with accurate forecasts of trajectories and events are crucial to safety, cost, dependability, credibility and environmental-friendliness of 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 moving objects at sea as well as a few preliminary suggestions for a successful development of maritime decision-support and forecasting.