Expertise is an activity carried out by experts that contributes to societal progress, as it helps to elucidate unknown situations. Forexample, accident expertise eases accident understanding, by describing how it happened, and by identifying its causes and conse-quences. As a result, the design of accident expertise in a convenient human-machine structure will enable the querying, reasoning,and reuse of accident knowledge in other tools, such as safety and decision-making systems. However, existing representations ofaccident knowledge, such as documents, relational databases, or accident ontologies, do not fulfill accident expertise expectations.Moreover, these representations are unlikely to provide the appropriate use of accident expertise knowledge. This study presents a base ontology for accident expertise knowledge representation designed with a model-driven methodologyand implemented with semantic web technologies. The study obtained satisfactory results from the evaluation and application ofextension and reuse of this ontology with aircraft accident expertise taken from the French bureau of Enquiries and Analysis (BEA)for civil aviation safety.

No abstract

No abstract