A Distributed Event Calculus for Event Recognition

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Conference Proceedings (fully refereed)
Mavrommatis, A., Artikis, A., Skarlatidis, A. & Paliouras, G.
Events provide a fundamental abstraction for representing time-evolving information. Complex event recognition focuses on tracking and analysing streams of events, in order to detect patterns of special significance. The event streams may originate from various stypes of sensor, such as cameras and GPS sensors. Furthermore, the stream velocity and volume pose significant challenges to event processing systems. We propose dRTEC, an event recognition system that employs the Event Calculus formalism and operates in multiple processing threads. We evaluate dRTEC using two real-world applications and show that it is capable of real-time and scalable event recognition.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
ECAI 2016
Conference Full Name: 
2nd AI - IoT Workshop, 22nd European Conference on Artificial Intelligence
Conference Country: 
Conference City: 
Conference Date(s): 
Mon, 29/08/2016 - Fri, 02/09/2016
Conference Level: 

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