Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure

Alexis Chartrain, Alexis Chartrain, Gilles Dessagne, Noël Haddad, David Hill

2024

Abstract

In this position paper, we argue that ontologies, combined with Model-Driven Engineering (MDE) approach and the object-oriented approach, could be leveraged to produce model-driven Digital Twins. This paper presents our framework for the production of model-driven Digital Twins using the aforementioned approach. Despite the interest in existing frameworks, this paper offers a new perspective that could help pave the way towards a future standardized, generic framework and shows insights of application at the French Railway Infrastructure Manager, SNCF RÉSEAU.

Paper Citation

in Harvard Style

Chartrain A., Dessagne G., Haddad N. and Hill D. (2024). Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: DTO; ISBN 978-989-758-716-0, SciTePress, pages 265-276. DOI: 10.5220/0013090200003838

in Bibtex Style

@conference{dto24,
author={Alexis Chartrain and Gilles Dessagne and Noël Haddad and David Hill},
title={Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: DTO},
year={2024},
pages={265-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013090200003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: DTO
TI - Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure
SN - 978-989-758-716-0
AU - Chartrain A.
AU - Dessagne G.
AU - Haddad N.
AU - Hill D.
PY - 2024
SP - 265
EP - 276
DO - 10.5220/0013090200003838
PB - SciTePress