An ontology-driven approach for OHS, SMT Case

In recent years, the state's interest in preventing occupational risk has placed companies under the obligation to improve risk management in OHS (Occupational Health and Safety). This research explores ontologies' potential to solve data heterogeneity (risks, accidents, occupational diseases, preventive and corrective measures) in the OHS field. The paper presents an ontology-driven approach for OHS exploiting an ontology reuse methodology adapted to the SMT Company, a Sonelgaz Group subsidiary. We also provide SMT managers with an integrated application for better decision-making in occupational health.