INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources

J. Tutcher, C. Roberts, J. M. Easton

2011

Abstract

Railway networks comprise a large number of information systems, many of which are implemented by different stakeholders according to different design requirements, and in different ways. Owing to the safety-critical nature of these systems, data is rarely shared across boundaries, and the potential for re-use of information is lost. Using ontology, it is hoped that information from these systems can be extracted and shared, in order to facilitate better operational decision-making. This paper examines the aspects of data re-use likely to benefit the industry, and describes a railway condition monitoring ontology that is being designed in conjunction with several industrial stakeholders to improve operational efficiency.

Paper Citation

in Harvard Style

Tutcher J., Roberts C. and M. Easton J. (2011). INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 442-444. DOI: 10.5220/0003661404420444

in Bibtex Style

@conference{keod11,
author={J. Tutcher and C. Roberts and J. M. Easton},
title={INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={442-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661404420444},
isbn={978-989-8425-80-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources
SN - 978-989-8425-80-5
AU - Tutcher J.
AU - Roberts C.
AU - M. Easton J.
PY - 2011
SP - 442
EP - 444
DO - 10.5220/0003661404420444