Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Consistency across the hierarchies of the UMLS semantic network and metathesaurus
Journal of Biomedical Informatics - Special issue: Unified medical language system
Debugging Incoherent Terminologies
Journal of Automated Reasoning
Structural group auditing of a UMLS semantic type's extent
Journal of Biomedical Informatics
A review of auditing methods applied to the content of controlled biomedical terminologies
Journal of Biomedical Informatics
Structural group-based auditing of missing hierarchical relationships in UMLS
Journal of Biomedical Informatics
The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS
Journal of Biomedical Informatics
Description logic-based methods for auditing frame-based medical terminological systems
Artificial Intelligence in Medicine
Auditing concept categorizations in the UMLS
Artificial Intelligence in Medicine
A study of terminology auditors' performance for UMLS semantic type assignments
Journal of Biomedical Informatics
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The Unified Medical Language System UMLS is a large and complex controlled medical terminology managed by the National Library of Medicine. The UMLS combines about 160 different terminologies into the Metathesaurus containing over 2.4 million concepts linked by about 50 million relationships. The process of merging 160 terminologies with often very different structures is a complex and error-prone task. Auditing terminologies for quality assurance is an important phase of any terminology's life cycle. Previously, we developed the Neighborhood Auditing Tool NAT, a concept-centric browser and auditing tool for the UMLS. In this paper we discuss the "Relationship, Audit Set Builder and Concept Neighborhood Auditing Tool" RAC-NAT, an expansion of the NAT into a multi-faceted browsing and auditing tool.