Publication type: Conference paper
Type of review: Peer review (abstract)
Title: An ontology of risk associated concepts in the context of resilience
Authors: Mock, Ralf Günter
Leksin, Alexey
Hulin, Bernhard
et. al: No
DOI: 10.3850/978-981-11-2724-3_0246-cd
Proceedings: Proceedings of the 29th European Safety and Reliability Conference
Editors of the parent work: Beer, Michael
Zio, Enrico
Page(s): 1320
Pages to: 1327
Conference details: ESREL 2019, Hannover, Germany, 22 - 26 September 2019
Issue Date: 2019
Publisher / Ed. Institution: Research Publishing
Publisher / Ed. Institution: Singapore
ISBN: 978-981-11-2724-3
Language: English
Subjects: Resilienz; Terminology; Risiko
Subject (DDC): 005: Computer programming, programs and data
Abstract: Resilience is, compared to risk, a rather new concept of consideration of technical systems. A formal presentation of definitions is seen as a way to promote the resilience principle. The paper starts with an ontology of resilience in the framework of engineering. This compilation supports the transition towards the structured representation of resilience. A Unified Modeling Language Class Diagram (UML CD) is generated for this purpose. In order to obtain such a CD, a literature search results in a list of term definitions as specified in standards and papers. Next, the approach compiles and characterises the nouns and verbs as used by these definitions which finally leads to Classes and their interrelationships as needed for the generation of CD Packages of terms. The approach is tested by generating the CD Package of risk and further developed for resilience representation. The analysis of risk and resilience by CDs points to their different concepts (i.e., Impact and Event versus Entity and Deviation). The generation of a CD Package is considered as a contribution to ease and structure the discussion on resilience. The named Attributes and Operations as specified in the CD of resilience also indicate what characteristics and properties a resilient system should have.
URI: https://digitalcollection.zhaw.ch/handle/11475/19033
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Appears in collections:Publikationen School of Engineering

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Mock, R. G., Leksin, A., & Hulin, B. (2019). An ontology of risk associated concepts in the context of resilience [Conference paper]. In M. Beer & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (pp. 1320–1327). Research Publishing. https://doi.org/10.3850/978-981-11-2724-3_0246-cd
Mock, R.G., Leksin, A. and Hulin, B. (2019) ‘An ontology of risk associated concepts in the context of resilience’, in M. Beer and E. Zio (eds) Proceedings of the 29th European Safety and Reliability Conference. Singapore: Research Publishing, pp. 1320–1327. Available at: https://doi.org/10.3850/978-981-11-2724-3_0246-cd.
R. G. Mock, A. Leksin, and B. Hulin, “An ontology of risk associated concepts in the context of resilience,” in Proceedings of the 29th European Safety and Reliability Conference, 2019, pp. 1320–1327. doi: 10.3850/978-981-11-2724-3_0246-cd.
MOCK, Ralf Günter, Alexey LEKSIN und Bernhard HULIN, 2019. An ontology of risk associated concepts in the context of resilience. In: Michael BEER und Enrico ZIO (Hrsg.), Proceedings of the 29th European Safety and Reliability Conference. Conference paper. Singapore: Research Publishing. 2019. S. 1320–1327. ISBN 978-981-11-2724-3
Mock, Ralf Günter, Alexey Leksin, and Bernhard Hulin. 2019. “An Ontology of Risk Associated Concepts in the Context of Resilience.” Conference paper. In Proceedings of the 29th European Safety and Reliability Conference, edited by Michael Beer and Enrico Zio, 1320–27. Singapore: Research Publishing. https://doi.org/10.3850/978-981-11-2724-3_0246-cd.
Mock, Ralf Günter, et al. “An Ontology of Risk Associated Concepts in the Context of Resilience.” Proceedings of the 29th European Safety and Reliability Conference, edited by Michael Beer and Enrico Zio, Research Publishing, 2019, pp. 1320–27, https://doi.org/10.3850/978-981-11-2724-3_0246-cd.


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