Manifestation of ontologies in graph databases for big data risk analysis

Miguel Figueres Esteban; Peter Hughes; Rawia El Rashidy; Coen Van Gulijk

doi:10.1201/9781351174664-399

Manifestation of ontologies in graph databases for big data risk analysis

Miguel Figueres Esteban, Peter Hughes, Rawia El Rashidy, Coen Van Gulijk

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

7 Citations (Scopus)

Abstract

Big Data Risk Analysis (BDRA) intends to combine the huge volume of information that railway systems produce from a variety of data sources for safety and risk management. One of the most challenging issues is how safety scientists can use big data techniques. This is especially important in the light of data coming from different systems that hold information about critical events, hazards or controls. Yet, the integration of com-plex safety-related data is not just another IT problem. Fundamentally, it requires the expertise of safety ex-perts in order to make sense of the data. A solution lies in the use of graph databases and ontologies to access this data for safety purposes. This type of database allows for the handling of huge amounts of data whilst it is still accessible to safety experts that are not gifted programmers. This approach opens up big data for safety management and enables a plethora of possibilities for future safety research.

Original language	English
Title of host publication	Safety and Reliability – Safe Societies in a Changing World
Subtitle of host publication	Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway
Editors	Stein Haugen, Anne Barros, Coen van Gulijk, Trond Kongsvik, Jan Erik Vinnem
Place of Publication	London
Publisher	CRC Press/Balkema
Chapter	399
Pages	3189-3193
Number of pages	5
Edition	1st
ISBN (Electronic)	9781351174657, 9781351174664
ISBN (Print)	9780815386827, 0815386826
DOIs	https://doi.org/10.1201/9781351174664-399
Publication status	Published - 18 Jun 2018
Event	Annual European Safety and Reliability Conference - Norwegian University of Science and Technology, Trodheim, Norway Duration: 17 Jun 2018 → 21 Jun 2018 https://www.ntnu.edu/web/esrel2018/home (Link to Conference Website )

Conference

Conference	Annual European Safety and Reliability Conference
Abbreviated title	ESREL
Country/Territory	Norway
City	Trodheim
Period	17/06/18 → 21/06/18
Internet address	https://www.ntnu.edu/web/esrel2018/home (Link to Conference Website )

UN SDGs

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

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M19_56_FPAccepted author manuscript, 398 KBLicence: CC BY-NC-ND

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Figueres Esteban, M., Hughes, P., El Rashidy, R., & Van Gulijk, C. (2018). Manifestation of ontologies in graph databases for big data risk analysis. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, & J. E. Vinnem (Eds.), Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway (1st ed., pp. 3189-3193). CRC Press/Balkema. https://doi.org/10.1201/9781351174664-399

Figueres Esteban, Miguel ; Hughes, Peter ; El Rashidy, Rawia et al. / Manifestation of ontologies in graph databases for big data risk analysis. Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. editor / Stein Haugen ; Anne Barros ; Coen van Gulijk ; Trond Kongsvik ; Jan Erik Vinnem. 1st. ed. London : CRC Press/Balkema, 2018. pp. 3189-3193

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title = "Manifestation of ontologies in graph databases for big data risk analysis",

abstract = "Big Data Risk Analysis (BDRA) intends to combine the huge volume of information that railway systems produce from a variety of data sources for safety and risk management. One of the most challenging issues is how safety scientists can use big data techniques. This is especially important in the light of data coming from different systems that hold information about critical events, hazards or controls. Yet, the integration of com-plex safety-related data is not just another IT problem. Fundamentally, it requires the expertise of safety ex-perts in order to make sense of the data. A solution lies in the use of graph databases and ontologies to access this data for safety purposes. This type of database allows for the handling of huge amounts of data whilst it is still accessible to safety experts that are not gifted programmers. This approach opens up big data for safety management and enables a plethora of possibilities for future safety research.",

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Figueres Esteban, M, Hughes, P, El Rashidy, R & Van Gulijk, C 2018, Manifestation of ontologies in graph databases for big data risk analysis. in S Haugen, A Barros, C van Gulijk, T Kongsvik & JE Vinnem (eds), Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. 1st edn, CRC Press/Balkema, London, pp. 3189-3193, Annual European Safety and Reliability Conference, Trodheim, Norway, 17/06/18. https://doi.org/10.1201/9781351174664-399

Manifestation of ontologies in graph databases for big data risk analysis. / Figueres Esteban, Miguel; Hughes, Peter; El Rashidy, Rawia et al.

Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. ed. / Stein Haugen; Anne Barros; Coen van Gulijk; Trond Kongsvik; Jan Erik Vinnem. 1st. ed. London : CRC Press/Balkema, 2018. p. 3189-3193.

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

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Figueres Esteban M, Hughes P, El Rashidy R, Van Gulijk C. Manifestation of ontologies in graph databases for big data risk analysis. In Haugen S, Barros A, van Gulijk C, Kongsvik T, Vinnem JE, editors, Safety and Reliability – Safe Societies in a Changing World: Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. 1st ed. London: CRC Press/Balkema. 2018. p. 3189-3193 Epub 2018 Jun 15. doi: 10.1201/9781351174664-399

Manifestation of ontologies in graph databases for big data risk analysis

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