Ontology network analysis for safety learning in the railway domain

M. Figueres-Esteban; P. Hughes; C. van Gulijk

Ontology network analysis for safety learning in the railway domain

M. Figueres-Esteban, P. Hughes, C. van Gulijk

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

Abstract

Ontologies have been used in diverse areas such as Knowledge Management (KM), Artificial Intelligence (AI), Natural Language Processing (NLP) and Semantic Web as they allow software applications to integrate, query and reason about concepts and relations within a knowledge domain. For Big Data Risk Analysis (BDRA) in railways, ontologies are a key enabler for obtaining valuable insight into safety from the large amount of data available from the railway.

Original language	English
Title of host publication	Risk, Reliability and Safety: Innovating Theory and Practice
Subtitle of host publication	Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016
Publisher	CRC Press/Balkema
Pages	479
Number of pages	1
ISBN (Print)	9781138029972
Publication status	Published - 13 Sep 2016
Event	26th European Safety and Reliability Conference - Glasgow, United Kingdom Duration: 25 Sep 2016 → 29 Sep 2016 Conference number: 26

Conference

Conference	26th European Safety and Reliability Conference
Abbreviated title	ESREL 2016
Country/Territory	United Kingdom
City	Glasgow
Period	25/09/16 → 29/09/16

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Cite this

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title = "Ontology network analysis for safety learning in the railway domain",

abstract = "Ontologies have been used in diverse areas such as Knowledge Management (KM), Artificial Intelligence (AI), Natural Language Processing (NLP) and Semantic Web as they allow software applications to integrate, query and reason about concepts and relations within a knowledge domain. For Big Data Risk Analysis (BDRA) in railways, ontologies are a key enabler for obtaining valuable insight into safety from the large amount of data available from the railway.",

author = "M. Figueres-Esteban and P. Hughes and {van Gulijk}, C.",

year = "2016",

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booktitle = "Risk, Reliability and Safety: Innovating Theory and Practice",

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note = "26th European Safety and Reliability Conference, ESREL 2016 ; Conference date: 25-09-2016 Through 29-09-2016",

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Figueres-Esteban, M, Hughes, P & van Gulijk, C 2016, Ontology network analysis for safety learning in the railway domain. in Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. CRC Press/Balkema, pp. 479, 26th European Safety and Reliability Conference, Glasgow, United Kingdom, 25/09/16. <http://eprints.hud.ac.uk/id/eprint/28633/>

Ontology network analysis for safety learning in the railway domain. / Figueres-Esteban, M.; Hughes, P.; van Gulijk, C.

Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. CRC Press/Balkema, 2016. p. 479.

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

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AU - Hughes, P.

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N1 - Conference code: 26

PY - 2016/9/13

Y1 - 2016/9/13

N2 - Ontologies have been used in diverse areas such as Knowledge Management (KM), Artificial Intelligence (AI), Natural Language Processing (NLP) and Semantic Web as they allow software applications to integrate, query and reason about concepts and relations within a knowledge domain. For Big Data Risk Analysis (BDRA) in railways, ontologies are a key enabler for obtaining valuable insight into safety from the large amount of data available from the railway.

AB - Ontologies have been used in diverse areas such as Knowledge Management (KM), Artificial Intelligence (AI), Natural Language Processing (NLP) and Semantic Web as they allow software applications to integrate, query and reason about concepts and relations within a knowledge domain. For Big Data Risk Analysis (BDRA) in railways, ontologies are a key enabler for obtaining valuable insight into safety from the large amount of data available from the railway.

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M3 - Conference contribution

AN - SCOPUS:85016223049

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BT - Risk, Reliability and Safety: Innovating Theory and Practice

PB - CRC Press/Balkema

T2 - 26th European Safety and Reliability Conference

Y2 - 25 September 2016 through 29 September 2016

ER -

Ontology network analysis for safety learning in the railway domain

Abstract

Conference

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