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A Stream Reasoning System for Maritime Monitoring

Authors Georgios M. Santipantakis, Akrivi Vlachou, Christos Doulkeridis, Alexander Artikis, Ioannis Kontopoulos, George A. Vouros

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Georgios M. Santipantakis
  • University of Piraeus, Karaoli and Dimitriou 80, 18534 Piraeus, Greece
Akrivi Vlachou
  • University of Piraeus, Karaoli and Dimitriou 80, 18534 Piraeus, Greece
Christos Doulkeridis
  • University of Piraeus, Karaoli and Dimitriou 80, 18534 Piraeus, Greece
Alexander Artikis
  • Department of Maritime Studies, University of Piraeus, Greece, Institute of Informatics & Telecommunications, NCSR "Demokritos", Ag. Paraskevi, Greece
Ioannis Kontopoulos
  • Institute of Informatics & Telecommunications, NCSR "Demokritos", Ag. Paraskevi, Greece
George A. Vouros
  • University of Piraeus, Karaoli and Dimitriou 80, 18534 Piraeus, Greece

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Georgios M. Santipantakis, Akrivi Vlachou, Christos Doulkeridis, Alexander Artikis, Ioannis Kontopoulos, and George A. Vouros. A Stream Reasoning System for Maritime Monitoring. In 25th International Symposium on Temporal Representation and Reasoning (TIME 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 120, pp. 20:1-20:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.TIME.2018.20

Abstract

We present a stream reasoning system for monitoring vessel activity in large geographical areas. The system ingests a compressed vessel position stream, and performs online spatio-temporal link discovery to calculate proximity relations between vessels, and topological relations between vessel and static areas. Capitalizing on the discovered relations, a complex activity recognition engine, based on the Event Calculus, performs continuous pattern matching to detect various types of dangerous, suspicious and potentially illegal vessel activity. We evaluate the performance of the system by means of real datasets including kinematic messages from vessels, and demonstrate the effects of the highly efficient spatio-temporal link discovery on performance.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Activity recognition and understanding
Keywords
  • event pattern matching
  • Event Calculus

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References

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