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

Studies in Health and Technology Informatics 102:145-164 (2004)
  Copy   BIBTEX


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.

Author's Profile

Barry Smith
State University of New York, Buffalo


Added to PP

177 (#46,157)

6 months
21 (#54,233)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?