Controlled Vocabularies in OODBs: Modeling Issues and Implementation
Distributed and Parallel Databases
Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
Consistency across the hierarchies of the UMLS semantic network and metathesaurus
Journal of Biomedical Informatics - Special issue: Unified medical language system
Structural group auditing of a UMLS semantic type's extent
Journal of Biomedical Informatics
Structural group-based auditing of missing hierarchical relationships in UMLS
Journal of Biomedical Informatics
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network
Journal of Biomedical Informatics
Auditing concept categorizations in the UMLS
Artificial Intelligence in Medicine
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network
Journal of Biomedical Informatics
Rule-based support system for multiple UMLS semantic type assignments
Journal of Biomedical Informatics
Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications
Journal of Biomedical Informatics
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An algorithmically-derived abstraction network, called the partial-area taxonomy, for a SNOMED hierarchy has led to the identification of concepts considered complex. The designation ''complex'' is arrived at automatically on the basis of structural analyses of overlap among the constituent concept groups of the partial-area taxonomy. Such complex concepts, called overlapping concepts, constitute a tangled portion of a hierarchy and can be obstacles to users trying to gain an understanding of the hierarchy's content. A new methodology for partitioning the entire collection of overlapping concepts into singly-rooted groups, that are more manageable to work with and comprehend, is presented. Different kinds of overlapping concepts with varying degrees of complexity are identified. This leads to an abstract model of the overlapping concepts called the disjoint partial-area taxonomy, which serves as a vehicle for enhanced, high-level display. The methodology is demonstrated with an application to SNOMED's Specimen hierarchy. Overall, the resulting disjoint partial-area taxonomy offers a refined view of the hierarchy's structural organization and conceptual content that can aid users, such as maintenance personnel, working with SNOMED. The utility of the disjoint partial-area taxonomy as the basis for a SNOMED auditing regimen is presented in a companion paper.