Abstract
Ensuring the safety of civil aviation employees is crucial for the overall safety and quality of the aviation industry. However, traditional methods of safety supervision are inefficient. This research proposes a regulatory approach based on knowledge graph technology, aiming to extract relationships from safety incidents involving civil aviation employees, establish a framework for safety risk analysis, and utilize the Neo4j graph database to provide comprehensive visualized data support for the safety supervision of civil aviation employees. This approach has the potential to enhance the safety supervision of civil aviation employees and contribute to overall aviation safety.
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