Data Driven Contextual Knowledge from and for Maritime Situational Awareness

Maritime Situational Awareness (MSA) is nowadays of paramount importance for safety and security. Many newly developed surveillance technologies have reached operational maturity, leading to a level of information that often enables the detection and tracking of vessels of interest at global scale. Nevertheless, the knowledge of the spatial distribution of vessels at sea is not sufficient to achieve useful understanding of their activities, to project their position into the future or to detect low-likelihood behaviours. In this paper we analyse knowledge discovery aimed at extracting contextual information of human related activities from vessel positioning data, and subsequently applying that information for increased understanding. These data driven approaches enable a high level of situational awareness that is often difficult to access, hard to update or other-wise challenging to unveil.

ALESSANDRINI Alfredo;  ARGENTIERI Pietro;  ALVAREZ ALVAREZ Marlene;  BARBAS Thomas;  DELANEY Conor Bernard;  FERNANDEZ ARGUEDAS Virginia;  GAMMIERI Vincenzo;  VAN WIMERSMA GREIDANUS Herman;  MAZZARELLA Fabio;  VESPE Michele;  ZIEMBA Lukasz Wojciech; 

2014-10-20

CAGIS

JRC90846

https://sites.google.com/site/contextawarenessingis/proceedings,    https://publications.jrc.ec.europa.eu/repository/handle/JRC90846,