How not to drown in a sea of information: An event recognition approach

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Conference Proceedings (fully refereed)
29
10
2015
Alevizos
Elias Alevizos, Alexander Artikis, Kostas Patroumpas, Marios Vodas, Yannis Theodoridis & Nikos Pelekis
Maritime monitoring is a typical Big Data problem where hundreds of thousands of vessels across the globe transmit messages about their location, speed and other information. We have developed a system for online vessel tracking that performs, as a first step, a high-rate but accurate trajectory compression. Subsequently, the compressed trajectories are analyzed by a complex event recognition engine, promptly reporting alerts to maritime authorities. To deal with realistic maritime event patterns, we seamlessly integrated spatial and temporal reasoning for online event recognition. The system is evaluated on real data from the Greek seas. Keywords-event processing; data streams; event calculus
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
IEEE BigData2015
Conference Full Name: 
2015 International Conference on Big Data
Conference Country: 
US:United States
Conference City: 
Santa Clara
Conference Date(s): 
Thu, 29/10/2015 - Sun, 01/11/2015
Conference Level: 
International

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