Title: Data Driven Contextual Knowledge from and for Maritime Situational Awareness
Authors: ALESSANDRINI ALFREDOARGENTIERI PIETROALVAREZ ALVAREZ MarleneBARBAS ThomasDELANEY CONOR BERNARDFERNANDEZ ARGUEDAS VIRGINIAGAMMIERI VINCENZOVAN WIMERSMA GREIDANUS HermanMAZZARELLA FABIOVESPE MICHELEZIEMBA LUKASZ WOJCIECH
Citation: Proceedings of the 1st International Workshop on Context-Awareness in Geographic Information Services p. 39-49
Publisher: CAGIS
Publication Year: 2014
JRC N°: JRC90846
URI: https://sites.google.com/site/contextawarenessingis/proceedings
http://publications.jrc.ec.europa.eu/repository/handle/JRC90846
Type: Articles in periodicals and books
Abstract: 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.
JRC Directorate:Space, Security and Migration

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