Ontology-based error detection in SNOMED-CT

Proceedings of Medinfo 2004:482-6 (2004)
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Quality assurance in large terminologies is a difficult issue. We present two algorithms that can help terminology developers and users to identify potential mistakes. We demonĀ­strate the methodology by outlining the different types of mistakes that are found when the algorithms are applied to SNOMED-CT. On the basis of the results, we argue that both formal logical and linguistic tools should be used in the development and quality-assurance process of large terminologies.

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Barry Smith
University at Buffalo


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