Composite Event Recognition for Maritime Monitoring
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Abstract (arXiv)
Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We present such a system using the Run-Time Event Calculus, a composite event recognition system with formal, declarative semantics. For effective recognition, we developed a library of maritime patterns in close collaboration with domain experts. We present a thorough evaluation of the system and the patterns both in terms of predictive accuracy and computational efficiency, using real-world datasets of vessel position streams and contextual geographical information.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Mar 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
4 papers.
- 2021Representation and Processing of Instantaneous and Durative Temporal Phenomenacited by 0
- 2022Early Time-Series Classification Algorithms: An Empirical Comparisoncited by 0
- 2026XLOG: A CUDA-Native Engine for Neurosymbolic Integrationcited by 0
- 2026LLMs for Executable Multi-Agent System Specification Generationcited by 0
- 2026LLMs for Executable Multi-Agent System Specification Generation28 Sep 2026
- 2026XLOG: A CUDA-Native Engine for Neurosymbolic Integration23 Sep 2026
- 2022Early Time-Series Classification Algorithms: An Empirical Comparison3 Mar 2022
- 2021Representation and Processing of Instantaneous and Durative Temporal Phenomena27 Aug 2021