Knowledge-based Drug Samples' Comparison

TL;DR

This paper introduces an ontology-based method to formalize and improve drug sample comparison, making the process more explainable and adaptable across domains.

Contribution

It presents a novel approach to model expert knowledge using ontologies and logical rules for drug sample comparison, enhancing accuracy and reusability.

Findings

Improved comparison process with explainability

Ontology-based model formalizes expert knowledge

Reusable framework applicable to other domains

Abstract

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.