Efficient computer use for automated safety text analysis

Matthew Newall; Coen Van Gulijk

doi:10.1201/9781315210469

Efficient computer use for automated safety text analysis

Matthew Newall, Coen Van Gulijk

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

Abstract

This paper details our efforts to improve the performance of some typical operations which may be applied to data gathered by the Close Call system. The methods described here potentially enable near real-time analysis of text based safety concerns, which eliminates shortcomings in the application of text analysis for the GB railway industry. The intention is to improve the accessibility of this data for use in timely risk anal-ysis, through application of computer science techniques. is a significant effort as part of BDRA project, that changes the way risk management will be done. In particular, once the national incident database, SMIS, is upgraded to a modern data system, provisionally termed SMIS+.

Original language	English
Title of host publication	Safety & Reliability
Subtitle of host publication	Theory and Applications
Editors	Marko Cepin, Radim Bris
Publisher	CRC Press/Balkema
Pages	3471-3474
Number of pages	4
Volume	1
Edition	1
ISBN (Print)	9781138629370
DOIs	https://doi.org/10.1201/9781315210469
Publication status	Published - 1 Jul 2017
Event	27th European Safety and Reliability Conference - Portorož, Slovenia Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 27 http://esrel2017.org/

Conference

Conference	27th European Safety and Reliability Conference
Abbreviated title	ESREL 2017
Country/Territory	Slovenia
City	Portorož
Period	18/06/17 → 22/06/17
Internet address	http://esrel2017.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1201/9781315210469Licence: Unspecified

Cite this

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title = "Efficient computer use for automated safety text analysis",

abstract = "This paper details our efforts to improve the performance of some typical operations which may be applied to data gathered by the Close Call system. The methods described here potentially enable near real-time analysis of text based safety concerns, which eliminates shortcomings in the application of text analysis for the GB railway industry. The intention is to improve the accessibility of this data for use in timely risk anal-ysis, through application of computer science techniques. is a significant effort as part of BDRA project, that changes the way risk management will be done. In particular, once the national incident database, SMIS, is upgraded to a modern data system, provisionally termed SMIS+.",

author = "Matthew Newall and {Van Gulijk}, Coen",

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AU - Van Gulijk, Coen

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AB - This paper details our efforts to improve the performance of some typical operations which may be applied to data gathered by the Close Call system. The methods described here potentially enable near real-time analysis of text based safety concerns, which eliminates shortcomings in the application of text analysis for the GB railway industry. The intention is to improve the accessibility of this data for use in timely risk anal-ysis, through application of computer science techniques. is a significant effort as part of BDRA project, that changes the way risk management will be done. In particular, once the national incident database, SMIS, is upgraded to a modern data system, provisionally termed SMIS+.

U2 - 10.1201/9781315210469

DO - 10.1201/9781315210469

M3 - Conference contribution

SN - 9781138629370

VL - 1

SP - 3471

EP - 3474

BT - Safety & Reliability

A2 - Cepin, Marko

A2 - Bris, Radim

PB - CRC Press/Balkema

T2 - 27th European Safety and Reliability Conference

Y2 - 18 June 2017 through 22 June 2017

ER -

Efficient computer use for automated safety text analysis

Abstract

Conference

UN SDGs

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