2026-07-24T00:02:59Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:9785 2024-03-06T10:44:55Z ddc:004 open_access

A Stream Reasoning System for Maritime Monitoring Santipantakis, Georgios M. Vlachou, Akrivi Doulkeridis, Christos Artikis, Alexander Kontopoulos, Ioannis Vouros, George A. event pattern matching Event Calculus 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Georgios M. Santipantakis and Akrivi Vlachou and Christos Doulkeridis and Alexander Artikis and Ioannis Kontopoulos and George A. Vouros 2018 Is Part Of LIPIcs, Volume 120, 25th International Symposium on Temporal Representation and Reasoning (TIME 2018) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.TIME.2018.20 urn:nbn:de:0030-drops-97858 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2018.20 eng https://creativecommons.org/licenses/by/3.0/legalcode