Detecting complex behavioral patterns in temporal data, such as moving object trajectories,
often relies on precise formal specifications derived from vague domain concepts. However …

In recent years, numerous maritime systems track vessels while travelling across the
oceans. Ship reporting systems are used to provide, gather or exchange information through …

Hierarchical representations of transportation networks should provide a better
understanding of mobility patterns and the underlying structures at various abstraction …

Maritime surveillance systems are of particular importance for the smooth and safe operation
of maritime traffic. Such systems must efficiently analyze the continuous stream of incoming …

Visual analytics techniques support the process of data analysis, reasoning, and knowledge
building performed by a human analyst. The techniques combine interactive, human …

Detecting and classifying anomalies generally contributes to Maritime Situation Awareness
and highly benefits from the combination of multiple sources, as correlating their output …

We examine techniques concerning mobility tracking over trajectories of vessels monitored
over a large maritime area. We focus particularly on maintaining summarized …

Results of automated detection of complex patterns in temporal data, such as trajectories of
moving objects, may be not good enough due to the use of strict pattern specifications …

In theory, spatial ship** data can be used to track variables that influence the supply or
demand for maritime transportation. In real applications, the limitations of using AIS data …

Situational awareness requires continual learning from observations and adaptive
reasoning from domain and contextual knowledge. The integration of reasoning and …