Risk management knowledge base for aerospace engineering based on Ontology-based semantic modeling

A lot of information about risk events, occurrence probability and risk management measures are proposed by different methods of risk analysis in aerospace industry. However, the information that scattered in different organizations and projects is not transformed into unified and reusable knowledge of risk management for efficient risk analysis. An Ontology-based knowledge base for one aerospace engineering is proposed by using the semantic-modeling method. It consists of four main knowledge models, namely, the system model, the risk source model, the risk classification model and the risk event model. The formal test and the content test are conducted for to verify the integrity and consistency of the Ontology-based knowledge base. Finally, a prototype of the Ontology-based knowledge base is proposed by using Protégé as a case to illustrate the validity and applicability in risk management.