ATMO: Autonomous Train Map Ontology
Nadia Chouchani, Sana Debbech
2023
Abstract
Infrastructure is the backbone of the railway industry which is an extensive and particularly complex system. However, the usage of different national and international standards for its design has led to a large number of incompatible systems. In this paper, we present ATMO, Autonomous Train Map Ontology, a modular ontology for modelling an on-board digital map for autonomous trains representing the railway infrastructure, line-side signalling and associated buildings. Semantic web technologies, knowledge and ontology engineering are adopted to integrate information from heterogenous sources and diverse standards such as RailSystemModel, EULYNX and IFC Rail ; to ensure semantic consistency of digital map objects. The development process is based on METHONTOLOGY and produced : (i) UML model as lightweight ontology; and (ii) OWL formal machine-readable specification as heavyweight ontology. The latter was evaluated using a railway use case.
DownloadPaper Citation
in Harvard Style
Chouchani N. and Debbech S. (2023). ATMO: Autonomous Train Map Ontology. In Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD, ISBN 978-989-758-633-0, pages 283-290. DOI: 10.5220/0011893200003402
in Bibtex Style
@conference{modelsward23,
author={Nadia Chouchani and Sana Debbech},
title={ATMO: Autonomous Train Map Ontology},
booktitle={Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD,},
year={2023},
pages={283-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011893200003402},
isbn={978-989-758-633-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD,
TI - ATMO: Autonomous Train Map Ontology
SN - 978-989-758-633-0
AU - Chouchani N.
AU - Debbech S.
PY - 2023
SP - 283
EP - 290
DO - 10.5220/0011893200003402