Experimental Comparison of Complex Event Processing Systems in the Maritime Domain

Troupiotis-Kapeliaris A., Chatzikokolakis K., Zissis D. and Alevizos E. - Maritime Big Data Workshop (MBDW) - 2020

Abstract

Complex Event Processing (CEP) ’s main purpose is recognizing interesting phenomena upon streams of data. So its only natural that it would find applications in the maritime domain, where detecting vessel activity plays an important role in monitoring movement at sea. In this study we briefly examine the field of Complex Event Processing; we present two CEP implementations, one based on machine learning techniques and a rule-based system modeled with Event Calculus. Finally, we evaluate their ability in modeling activities that involve multiple vessels, by comparing their results on real-life examples.

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This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 825070.

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