Abstract
A number of accident databases have been developed including both public and commercial ones. However, these databases implement static data models that are used to classify each accident. It is then difficult to dynamically expand the underlying database schema if for example new causes are identified. In this paper we propose an approach for accident database development based on knowledge engineering techniques. In particular, we explore the use of ontologies and Formal Concept Analysis.
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