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Big Data Analytics for Time-Critical Mobility Forecasting pp 255–274Cite as

Event Processing for Maritime Situational Awareness

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Abstract

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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Acknowledgements

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.

Author information

Authors and Affiliations

  1. Institute of Informatics & Telecommunications, NCSR Demokritos, Athens, Greece

    Manolis Pitsikalis & Alexander Artikis

  2. MarineTraffic, Athens, Greece

    Konstantina Bereta, Marios Vodas & Dimitris Zissis

  3. Department of Product & Systems Design Engineering, University of the Aegean, Syros, Greece

    Dimitris Zissis

  4. Department of Maritime Studies, University of Piraeus, Piraeus, Greece

    Alexander Artikis

Authors
  1. Manolis Pitsikalis
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  2. Konstantina Bereta
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  3. Marios Vodas
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  4. Dimitris Zissis
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  5. Alexander Artikis
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Corresponding author

Correspondence to Alexander Artikis .

Editor information

Editors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    George A. Vouros

  2. Intelligent Analysis & Info Systems, Fraunhofer Institute IAIS, Sankt Augustin, Germany

    Gennady Andrienko

  3. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Christos Doulkeridis

  4. Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

    Nikolaos Pelekis

  5. Complex Event Recognition Group, NCSR “Demokritos”, Agia Paraskevi, Greece

    Alexander Artikis

  6. Centre for Maritime Research and Experimentation (CMRE), NATO Science and Technology Organization (STO), La Spezia, Italy

    Anne-Laure Jousselme

  7. Naval Research Institute (IRENav), Arts & Metiers-Paris Tech, Brest, France

    Cyril Ray

  8. Edificio Allende, CRIDA, Madrid, Spain

    Jose Manuel Cordero

  9. Boeing Research & Technology Europe, Madrid, Spain

    David Scarlatti

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Pitsikalis, M., Bereta, K., Vodas, M., Zissis, D., Artikis, A. (2020). Event Processing for Maritime Situational Awareness . In: Vouros, G., et al. Big Data Analytics for Time-Critical Mobility Forecasting. Springer, Cham. https://doi.org/10.1007/978-3-030-45164-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-45164-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45163-9

  • Online ISBN: 978-3-030-45164-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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