Due to the vast amount of available tracking sensors in recent years, high-frequency and
high-volume streams of data are generated every day. The maritime domain is no different …

In the last years, systems broadcasting mobility data underwent a rise in cyberthreats,
jeopardising their normal use and putting both users and their environment at risk. In this …

Maritime monitoring systems support safe ship** as they allow for the real-time detection
of dangerous, suspicious and illegal vessel activities. We present such a system using the …

Trajectory data holds pivotal importance in the ship** industry and transcend their
significance in various domains, including transportation, health care, tourism, surveillance …

In this paper we motivate the need for real-time vessel behaviour classification and describe
in detail our event-based classification approach, as implemented in our real-world industry …

Logic-based event recognition systems infer occurrences of events in time using a set of
event definitions in the form of first-order rules. The Event Calculus is a temporal logic that …

This work reports on the maritime use case development and evaluation of the prototype of
the project Big Data Analytics for Time Critical Mobility Forecasting (datAcron), which was …

Illegal fishing poses an existential threat to global fisheries and is responsible for causing
significant damage and depletion to fish stocks, food security and national economies. We …

Big data solutions are designed to cope with data of huge Volume and wide Variety, that
need to be ingested at high Velocity and have potential Veracity issues, challenging …

Novel approaches favouring the understanding of increasing volumes of location-based
data in both indoor and outdoor spaces are still required to cope with multi-modal and multi …