“Smart Entity” – How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?

Thierry Antoine-Santoni; Bastien Poggi; Evelyne Vittori; Ho Hieux; Marielle Delhom; Antoine Aiello

Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8–10, 2019, Proceedings

Research Article

“Smart Entity” – How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?

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@INPROCEEDINGS{10.1007/978-3-030-32216-8_60,
    author={Thierry Antoine-Santoni and Bastien Poggi and Evelyne Vittori and Ho Hieux and Marielle Delhom and Antoine Aiello},
    title={“Smart Entity” -- How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?},
    proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings},
    proceedings_a={SIMUTOOLS},
    year={2019},
    month={10},
    keywords={Machine learning DEVS formalism Model generation Decision supports Internet of Thing Big data},
    doi={10.1007/978-3-030-32216-8_60}
}

Thierry Antoine-Santoni
Bastien Poggi
Evelyne Vittori
Ho Hieux
Marielle Delhom
Antoine Aiello
Year: 2019
“Smart Entity” – How to Build DEVS Models from Large Amount of Data and Small Amount of Knowledge?
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_60

Thierry Antoine-Santoni¹^,*, Bastien Poggi¹, Evelyne Vittori¹, Ho Hieux¹^,*, Marielle Delhom¹, Antoine Aiello¹

1: University of Corsica, UMR CNRS SPE

*Contact email: antoine-santoni_t@univ-corse.fr, ho_vh@univ-corse.fr

Abstract

University of Corsica and CNRS are working on a scientific program called “Smart Paesi”. This project focus on a sustainable rural territories development using advanced artificial intelligence concepts in order to adapt smart city concept (including sustainable development, ICT with by example wireless sensors network, education, e-citizenship, governance) to rural territories and their specificities. In this paper, we introduce a new approach combining discrete event modelling concepts and machine learning methods. This work is a first step towards the conception of a generic and scalable framework allowing model generation from large amount of data.

Keywords: Machine learning DEVS formalism Model generation Decision supports Internet of Thing Big data

Published: 2019-10-24
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-32216-8_60