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

doi:10.5220/0003661404420444

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

^*Corresponding author for this work

School of Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the International Conference on Knowledge Engineering and Ontology Development 2011
Publisher	SciTePress
Pages	442-444
Number of pages	3
ISBN (Print)	9789898425805
DOIs	https://doi.org/10.5220/0003661404420444
Publication status	Published - 2011
Event	International Conference on Knowledge Engineering and Ontology Development 2011 - Paris, France Duration: 26 Oct 2011 → 29 Oct 2011

Conference

Conference	International Conference on Knowledge Engineering and Ontology Development 2011
Abbreviated title	KEOD 2011
Country/Territory	France
City	Paris
Period	26/10/11 → 29/10/11

Keywords

Condition monitoring
Data exchange
Data interoperability
Domain ontology
Railways

ASJC Scopus subject areas

Information Systems

Access to Document

10.5220/0003661404420444Licence: CC BY-NC-ND

Cite this

@inproceedings{4d9e6314cf7643c9ba319fd1d3f354de,

title = "Integrating railway maintenance data: Development of a semantic data model to support condition monitoring data from multiple sources",

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.",

keywords = "Condition monitoring, Data exchange, Data interoperability, Domain ontology, Railways",

author = "J. Tutcher and C. Roberts and Easton, \{J. M.\}",

year = "2011",

doi = "10.5220/0003661404420444",

language = "English",

isbn = "9789898425805",

pages = "442--444",

booktitle = "Proceedings of the International Conference on Knowledge Engineering and Ontology Development 2011",

publisher = "SciTePress",

note = "International Conference on Knowledge Engineering and Ontology Development 2011, KEOD 2011 ; Conference date: 26-10-2011 Through 29-10-2011",

}

Tutcher, J, Roberts, C & Easton, JM 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 2011. SciTePress, pp. 442-444, International Conference on Knowledge Engineering and Ontology Development 2011, Paris, France, 26/10/11. https://doi.org/10.5220/0003661404420444

Integrating railway maintenance data: Development of a semantic data model to support condition monitoring data from multiple sources. / Tutcher, J.; Roberts, C.; Easton, J. M.
Proceedings of the International Conference on Knowledge Engineering and Ontology Development 2011. SciTePress, 2011. p. 442-444.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Integrating railway maintenance data

T2 - International Conference on Knowledge Engineering and Ontology Development 2011

AU - Tutcher, J.

AU - Roberts, C.

AU - Easton, J. M.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Condition monitoring

KW - Data exchange

KW - Data interoperability

KW - Domain ontology

KW - Railways

UR - https://www.scopus.com/pages/publications/84862238567

U2 - 10.5220/0003661404420444

DO - 10.5220/0003661404420444

M3 - Conference contribution

AN - SCOPUS:84862238567

SN - 9789898425805

SP - 442

EP - 444

BT - Proceedings of the International Conference on Knowledge Engineering and Ontology Development 2011

PB - SciTePress

Y2 - 26 October 2011 through 29 October 2011

ER -

Integrating railway maintenance data: Development of a semantic data model to support condition monitoring data from multiple sources

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this