Investigating subsumption in DL-based terminologies: A case study in Snomed-CT

Bodenreider, O., Smith, B., Kumar, A. & Burgun, A. Artificial Intelligence in Medicine, 39(3), 183-195. 2007. PMID: 17241777

The objective of this paper is to study the degree to which one DL-based biomedical terminology complies with a basic set of ontological principles. We selected SNOMED CT as target for this evaluation because it is the most comprehensive biomedical terminology recently developed in native DL formalism. Another reason for our choice is that SNOMED CT is now available as part of the UMLS3 at no charge for UMLS licensees in the U.S. It is therefore likely to become widely used in medical information systems.