Semantic Multi-sensor Data Processing for Smart Environments

Fano Ramparany

2016

Abstract

One salient feature of data produced by the IoT is its heterogeneity. Despite this heterogeneity, future IoT applications including Smart Home, Smart City, Smart Energy services, will require that all data be easily compared, correlated and merged, and that interpretation of this resulting aggregate into higher level context better matches people needs and requirements. In this paper we propose a framework based on semantic technologies for aggregating IoT data. Our approach has been assessed in the domain of the Smart Home with real data provided by Orange Homelive solution. We show that our approach enables simple reasoning mechanisms to be conducted on the aggregated data, so that contexts such as the presence, activities of people as well as abnormal situations requiring corrective actions, be inferred.

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Paper Citation


in Harvard Style

Ramparany F. (2016). Semantic Multi-sensor Data Processing for Smart Environments . In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 199-206. DOI: 10.5220/0005729601990206


in Bibtex Style

@conference{sensornets16,
author={Fano Ramparany},
title={Semantic Multi-sensor Data Processing for Smart Environments},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005729601990206},
isbn={978-989-758-169-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Semantic Multi-sensor Data Processing for Smart Environments
SN - 978-989-758-169-4
AU - Ramparany F.
PY - 2016
SP - 199
EP - 206
DO - 10.5220/0005729601990206