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Authors: Francesco Nocera ; Tommaso di Noia ; Marina Mongiello and Eugenio Di Sciascio

Affiliation: Polytechnic University of Bari, Italy

Keyword(s): Complex Event Processing, Cyber-physical Systems, Ontologies, IoT Middleware.

Abstract: Agricultural domain presents challenges typical of the Cyber-Physical Systems field and the hard-core of information technology industry of the new generation, such as Cloud computing and Internet of Things. In fact, modern agricultural management strongly relies on many different sensing methodologies to provide accurate information about crop, climate, and environmental conditions. In this paper we propose an approach to model a mobile-driven and distributed Complex Event Processing solution which is enabled by an IoT middleware. The proposed framework is robust with reference to contextual and environmental changes also thanks to the exploitation of an ontological model.

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Paper citation in several formats:
Nocera, F.; di Noia, T.; Mongiello, M. and Di Sciascio, E. (2017). Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 638-645. DOI: 10.5220/0006369506380645

@conference{closer17,
author={Francesco Nocera. and Tommaso {di Noia}. and Marina Mongiello. and Eugenio {Di Sciascio}.},
title={Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={638-645},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006369506380645},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - Semantic IoT Middleware-enabled Mobile Complex Event Processing for Integrated Pest Management
SN - 978-989-758-243-1
IS - 2184-5042
AU - Nocera, F.
AU - di Noia, T.
AU - Mongiello, M.
AU - Di Sciascio, E.
PY - 2017
SP - 638
EP - 645
DO - 10.5220/0006369506380645
PB - SciTePress

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