Maritime data integration and analysis: Recent progress and research challenges
Claramunt, C., Ray, C., Salmon, L. , Camossi, E., Hadzagic, M., Jousselme, A-L., Andrienko, G. 
ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Theodoridis, Y. & Vouros, G. (2017).
Maritime data integration and analysis: Recent progress and research challenges.
Advances in Database Technology - EDBT, 2017-M,
pp. 192-197.
doi: 10.5441/002/edbt.2017.18
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.
| Publication Type: | Article |
|---|---|
| Publisher Keywords: | Big Spatio-temporal Data, Moving Objects, Maritime Information Systems, Event detection, Forecasting, Uncertainty |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
| Departments: | School of Science & Technology > Computer Science School of Science & Technology > Computer Science > giCentre |
| SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (710kB) | Preview
Export
Downloads
Downloads per month over past year
Metadata
MetadataActions (login required)
Admin Login