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Authors: Agustin Moyano 1 ; Oscar Lazaro 2 and Carlos Fernandez-Llatas 3

Affiliations: 1 NEXTEL S.A, Spain ; 2 Asociacion Innovalia, Spain ; 3 Universidad Politecnica de Valencia, Spain

Keyword(s): semantic sensor networks, factories of the future, autonomous distribued reasoning

Abstract: In recent years we have observe the increasing interest and a prevailing role of ICT in the context of factory environment. In parallel with increased sensing and actuating capabilities, the improvement in backhaul communications present a new factory scenario where more autonomous intelligent reasoning mechanisms could be envisaged. The Internet of Things (IoT) scenario that needs to be handle is characterized by highly variable spatial and temporal contexts that should be effectively managed. This paper presents and discusses the semantic management approach to complex system operation proposed by the FASyS project (Absolutely safe and Healthy Factory). Moreover, a distributed reasoning concept regarded as reasoning contexts proposed by the project is also proposed and the benefits discussed.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Moyano, A.; Lazaro, O. and Fernandez-Llatas, C. (2010). Semantic Sensor Network Architecture for Pro-active Risk Management in the Factories of the Future. In Proceedings of the International Workshop on Semantic Sensor Web (IC3K 2010) - SSW; ISBN 978-989-8425-33-1, SciTePress, pages 103-108. DOI: 10.5220/0003142901030108

@conference{ssw10,
author={Agustin Moyano. and Oscar Lazaro. and Carlos Fernandez{-}Llatas.},
title={Semantic Sensor Network Architecture for Pro-active Risk Management in the Factories of the Future},
booktitle={Proceedings of the International Workshop on Semantic Sensor Web (IC3K 2010) - SSW},
year={2010},
pages={103-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003142901030108},
isbn={978-989-8425-33-1},
}

TY - CONF

JO - Proceedings of the International Workshop on Semantic Sensor Web (IC3K 2010) - SSW
TI - Semantic Sensor Network Architecture for Pro-active Risk Management in the Factories of the Future
SN - 978-989-8425-33-1
AU - Moyano, A.
AU - Lazaro, O.
AU - Fernandez-Llatas, C.
PY - 2010
SP - 103
EP - 108
DO - 10.5220/0003142901030108
PB - SciTePress