Answers are grounded in this paper and cite their sources.
Learning from near misses has a large potential for improving operations especially in high-risk sectors, such as Seveso industries. A comprehensive analysis of near miss reports requires processing a large volume of data from various sources, which are not standardized and seemingly disconnected from each other. A knowledge graph is here used to provide a comprehensive safety perspective to near miss data. In particular, this paper presents an analysis of a knowledge graph for near miss reports with the objective to measure systematically their completeness based on an integrated multi-criteria decision-making technique. The reports completeness fosters a meta-analysis of available data, highlighting systems’ strengths and vulnerabilities, as well as disseminating best practices for industry stakeholders.
No takes yet. Share an insight, caveat, or question.
Simone et al. (2023) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: