In recent years, industrial safety has shown significant improvement, but achieving zero incidents remains a distant goal. Valuable insights can be gained from analyzing near misses, which are lower-consequence events. However, this analysis requires processing non-standardized data from various fragmented sources.

In this session, Francesco and Riccardo will propose a methodological solution that utilizes a knowledge graph to extract knowledge from near-miss reports. This approach allows you to learn about ontological safety explorative analysis, unlocking otherwise inaccessible information. The results prove the advantages of using a knowledge graph to support safety interventions and provide a comprehensive view of industrial process management.