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 proceedingConference contributionpeer-review

6 Citations (Scopus)


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 languageEnglish
Title of host publicationSafety and Reliability – Safe Societies in a Changing World
Subtitle of host publicationProceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway
EditorsStein Haugen, Anne Barros, Coen van Gulijk, Trond Kongsvik, Jan Erik Vinnem
Place of PublicationLondon
PublisherCRC Press/Balkema
Number of pages5
ISBN (Electronic)9781351174657, 9781351174664
ISBN (Print)9780815386827, 0815386826
Publication statusPublished - 18 Jun 2018
EventAnnual European Safety and Reliability Conference - Norwegian University of Science and Technology, Trodheim, Norway
Duration: 17 Jun 201821 Jun 2018 (Link to Conference Website )


ConferenceAnnual European Safety and Reliability Conference
Abbreviated titleESREL
Internet address


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