Mistakes in medical ontologies: Where do they come from and how can they be detected?


Authors
Barry Smith
State University of New York, Buffalo
Abstract
We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT.
Keywords SNOMED-CT  biomedical ontologies
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References found in this work BETA

Fiat and Bona Fide Boundaries.Barry Smith & Achille C. Varzi - 2000 - Philosophy and Phenomenological Research 60 (2):401-420.

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Referent Tracking for Digital Rights Management.Werner Ceusters & Barry Smith - 2007 - International Journal of Metadata, Semantics and Ontologies 2 (1):45-53.

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On Carcinomas and Other Pathological Entities.Barry Smith, Anand Kumar, Werner Ceusters & Cornelius Rosse - 2005 - Comparative and Functional Genomics 6 (7/8):379–387.

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