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 proceedingConference contribution

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 languageEnglish
Title of host publicationRisk, Reliability and Safety: Innovating Theory and Practice
Subtitle of host publicationProceedings of the 26th European Safety and Reliability Conference, ESREL 2016
PublisherCRC Press/Balkema
Pages479
Number of pages1
ISBN (Print)9781138029972
Publication statusPublished - 13 Sep 2016
Event26th European Safety and Reliability Conference - Glasgow, United Kingdom
Duration: 25 Sep 201629 Sep 2016
Conference number: 26

Conference

Conference26th European Safety and Reliability Conference
Abbreviated titleESREL 2016
CountryUnited Kingdom
CityGlasgow
Period25/09/1629/09/16

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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 (pp. 479). CRC Press/Balkema.