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|Title:||AIS Event-Based Knowledge Discovery for Maritime Situational Awareness|
|Authors:||ALVAREZ ALVAREZ Marlene; FERNANDEZ ARGUEDAS VIRGINIA; GAMMIERI VINCENZO; VESPE MICHELE; AULICINO Giuseppe; VOLLERO Antonio|
|Other Contributors:||MAZZARELLA FABIO|
|Type:||Articles in periodicals and books|
|Abstract:||The discovery of anomalies and, more in general, of events of interest at sea is one of the main challenges of Maritime Situational Awareness (MSA)-related activities. This paper proposes an event-based methodology for knowledge discovery without querying directly a huge amount of raw data. The proposed architecture analyses the maritime traffic data to detect maritime traffic patterns and events and aggregate them in an Event Map, namely a georeferenced grid. The Event Map offers visualisation capabilities and, more importantly, is used as access interface to the maritime traffic knowledge database. The proposed methodology offers real-time access to maritime data, without accessing the raw AIS data, and the possibility to perform more structured queries with respect to traditional basic queries (e. g. vessel proximity within a certain distance). The proposed approach is illustrated and assessed on real-world AIS data set revealing computational improvements and enriched monitoring capabilities.|
|JRC Directorate:||Space, Security and Migration|
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