@article{tsilionis_koutroumanis_nikitopoulos_doulkeridis_artikis_2019,
title={Online Event Recognition from Moving Vehicles: Application Paper},
volume={19},
DOI={10.1017/s147106841900022x},
abstractNote={AbstractWe present a system for online composite event recognition over streaming positions of commercial vehicles. Our system employs a data enrichment module, augmenting the mobility data with external information, such as weather data and proximity to points of interest. In addition, the composite event recognition module, based on a highly optimised logic programming implementation of the Event Calculus, consumes the enriched data and identifies activities that are beneficial in fleet management applications. We evaluate our system on large, real-world data from commercial vehicles, and illustrate its efficiency.},
number={5-6},
publisher={Cambridge University Press (CUP)},
author={TSILIONIS, EFTHIMIS and KOUTROUMANIS, NIKOLAOS and NIKITOPOULOS, PANAGIOTIS and DOULKERIDIS, CHRISTOS and ARTIKIS, ALEXANDER},
year={2019}
}