Graph Databases for Safety
Democratization of Data-Analysis for Safety Experts
Will be published approx. on 1. August 2029
Book
Paperback/Softback
212 pages
978-0-12-816045-9 (ISBN)
Description
Graph Databases for Safety: Democratization of Data-Analysis for Safety Experts bridges the gap between computer science and safety science, introducing a data-platform and safety analysis techniques for the safety science domain that is based on a relatively new form of scalable NoSQL database. Use cases for the safety domain are discussed, including automated text analysis for accident reports, remote conditioning monitoring and populating bow-ties with real-life data and databases along with an explanation on how to use big data for safety. This book opens up immense potential for further research as virtually any safety-related data can be stored in graph-databases.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
Safety scientists and researchers at graduate level
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-0-12-816045-9 (9780128160459)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Coen van Gulijk is a professor of safety and risk at the University of Huddersfield. Coen and his team work on the IT transformation of Safety Management Systems and Risk Analysis. Industry will benefit greatly from modern IT business systems to support risk-based decision making and asset management, to deliver cost reductions, performance enhancements and optimization.
From 2007 till 2014, Coen was an assistant professor at the Delft University of Technology on the optimal use of theoretical concepts in Safety and Security and to apply them in various domains including: chemical risk modelling, air-transport security, group-risk decision making, safety management systems and patient safety. In 2013 and 2014 he worked as a visiting assistant professor at the University of Antwerp supporting the newly developed Master of Safety Sciences at that university. From 2001 to 2007, Coen worked on Personal Protection Equipment as a researcher at TNO.
Coen is the Secretary General for the ESRA, the European Safety and Reliability Association.
From 2007 till 2014, Coen was an assistant professor at the Delft University of Technology on the optimal use of theoretical concepts in Safety and Security and to apply them in various domains including: chemical risk modelling, air-transport security, group-risk decision making, safety management systems and patient safety. In 2013 and 2014 he worked as a visiting assistant professor at the University of Antwerp supporting the newly developed Master of Safety Sciences at that university. From 2001 to 2007, Coen worked on Personal Protection Equipment as a researcher at TNO.
Coen is the Secretary General for the ESRA, the European Safety and Reliability Association.
Content
Section 1: Framework
1. Introduction: Why big-data for safety?
2. Big Data Risk Analysis: Definitions and key elements
3. The BDRA triangle: Introduction to building a project
Section 2: Practical Implementation
4. Practical implementation in Graph Databases
5. Safety Text analysis with Graph Databases
6. Basic statistical analytics in Graph databases
7. Safety knowledge capture in Graph databases
Section 3: Applications
8. OTMR/RAATS analysis for SPAD detection
9. Building safety models from Close Calls
10. Bow-tie representation
Section 4: Futur
11. Pushing the limits of safety beyond the current state-of-the-art
12. Skills for safety experts in the digital revolution
13. Conclusion: years and years of research, give us all your money
1. Introduction: Why big-data for safety?
2. Big Data Risk Analysis: Definitions and key elements
3. The BDRA triangle: Introduction to building a project
Section 2: Practical Implementation
4. Practical implementation in Graph Databases
5. Safety Text analysis with Graph Databases
6. Basic statistical analytics in Graph databases
7. Safety knowledge capture in Graph databases
Section 3: Applications
8. OTMR/RAATS analysis for SPAD detection
9. Building safety models from Close Calls
10. Bow-tie representation
Section 4: Futur
11. Pushing the limits of safety beyond the current state-of-the-art
12. Skills for safety experts in the digital revolution
13. Conclusion: years and years of research, give us all your money