Knowledge-based Drug Samples' Comparison
This work addresses the need for automating and improving drug distribution network identification for the French National police, but it is incremental as it builds on existing knowledge-based methods.
The authors tackled the problem of manual drug sample comparison by forensic experts by developing an approach to acquire and formalize expert knowledge using an ontology and logical rules, resulting in an explainable system that can be reused in other domains.
Drug sample comparison is a process used by the French National police to identify drug distribution networks. The current approach is based on manual comparison done by forensic experts. In this article, we present our approach to acquire, formalise, and specify expert knowledge to improve the current process. For modelling the underlying knowledge we use an ontology coupled with logical rules. The different steps of our approach are designed to be reused in other application domains. The results obtained are explainable making them usable by experts in different fields.