Representing biomedical knowledge in the UMLS semantic network
High performance medical libraries
Research on structural issues of the UMLS: past, present, and future
Journal of Biomedical Informatics - Special issue: Unified medical language system
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
Auditing associative relations across two knowledge sources
Journal of Biomedical Informatics
Journal of Biomedical Informatics
The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS
Journal of Biomedical Informatics
A graph-based approach to auditing RxNorm
Journal of Biomedical Informatics
A quality improvement model for healthcare terminologies
Journal of Biomedical Informatics
A scaleable automated quality assurance technique for semantic representations and proposition banks
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
LogMap: logic-based and scalable ontology matching
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Evidence theory based knowledge representation
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED
Journal of Biomedical Informatics
Semantic mappings and locality of nursing diagnostic concepts in UMLS
Journal of Biomedical Informatics
Journal of Biomedical Informatics
A study of terminology auditors' performance for UMLS semantic type assignments
Journal of Biomedical Informatics
Enhancing semantic relation quality of UMLS knowledge sources
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A RELATIONSHIP-CENTRIC HYBRID INTERFACE FOR BROWSING AND AUDITING THE UMLS
Journal of Integrated Design & Process Science
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Objective. To develop and test a method for automatically detecting inconsistencies between the parent-child is-a relationships in the Metathesaurus and the ancestor-descendant relationships in the Semantic Network of the Unified Medical Language System (UMLS).Methods. We exploited the fact that each Metathesaurus concept is assigned one or more semantic types from the UMLS Semantic Network and that the semantic types are arranged in a hierarchy. We compared the semantic types of each pair of parent and child concepts to determine if the types "explained" the Metathesaurus is-a relationships. We considered cases where the semantic type of the parent was neither the same as, nor an ancestor of, the semantic type of the child to be "unexplained." We applied this method to the January 2002 release of the UMLS and examined the unexplained cases we discovered to determine their causes.Results. We found that 17,022 (24.3%) of the parent--child is-a relationships in the UMLS Metathesaurus could not be explained based on the semantic types of the concepts. Causes for these discrepancies included cases where the parent or child was missing a semantic type, cases where the semantic type of the child was too general or the semantic type of the parent was too specific, cases where the parent-child relationship was incorrect, and cases where an ancestor-descendant relationship should be added to the UMLS Semantic network. In many cases, the specific cause of the discrepancy cannot be resolved without authoritative judgment by the UMLS developers.Conclusions. Our method successfully detects inconsistencies between the hierarchies of the UMLS Metathesaurus and Semantic Network. We believe that our method should be added to the set of tools that the UMLS developers use to maintain and audit the UMLS knowledge sources.