Event Processing for Maritime Situational Awareness

  • Manolis Pitsikalis
  • Konstantina Bereta
  • Marios Vodas
  • Dimitris Zissis
  • Alexander ArtikisEmail author


Numerous illegal and dangerous activities take place at sea, including violations of ship emission rules, illegal fishing, illegal discharges of oil and garbage, smuggling, piracy and more. We present our efforts to combine two stream reasoning technologies for detecting such activities in real time: a formal, computational framework for composite maritime event recognition, based on the Event Calculus, and an industry-strong maritime anomaly detection service, capable of processing daily real-world data volumes.


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This work was supported by the datACRON and the INFORE projects, which have received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreements No 687591 and No 825070.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Manolis Pitsikalis
    • 1
  • Konstantina Bereta
    • 2
  • Marios Vodas
    • 2
  • Dimitris Zissis
    • 3
    • 2
  • Alexander Artikis
    • 4
    • 1
    Email author
  1. 1.Institute of Informatics & TelecommunicationsNCSR DemokritosAthensGreece
  2. 2.MarineTrafficAthensGreece
  3. 3.Department of Product & Systems Design EngineeringUniversity of the AegeanSyrosGreece
  4. 4.Department of Maritime StudiesUniversity of PiraeusPiraeusGreece

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