Representing biomedical knowledge in the UMLS semantic network
High performance medical libraries
Journal of the ACM (JACM)
A Shifting Algorithm for Min-Max Tree Partitioning
Journal of the ACM (JACM)
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Controlled Vocabularies in OODBs: Modeling Issues and Implementation
Distributed and Parallel Databases
The cohesive metaschema: a higher-level abstraction of the UMLS semantic network
Journal of Biomedical Informatics
Exploring semantic groups through visual approaches
Journal of Biomedical Informatics - Special issue: Unified medical language system
Designing metaschemas for the UMLS enriched semantic network
Journal of Biomedical Informatics - Special issue: Unified medical language system
A lexical metaschema for the UMLS semantic network
Artificial Intelligence in Medicine
Auditing concept categorizations in the UMLS
Artificial Intelligence in Medicine
Structural group auditing of a UMLS semantic type's extent
Journal of Biomedical Informatics
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A metaschema is an Abstraction Network of the UMLS's Semantic Network (SN) obtained from a connected partition into its collections of semantic types. A metaschema can support comprehension, visualization and navigation of the SN. In this paper, a methodology is presented to evaluate and compare two given metaschemas, based on their structural properties. This methodology was applied to the top-down metaschema and the bottom-up metaschema, derived from two studies involving two groups of UMLS experts. By the Cronbach alpha estimate, the bottom-up metaschema is reliable, while the top-down metaschema is not. An algorithm was designed to yield a consolidated metaschema enjoying the best and avoiding the worst of the two given metaschemas. The consolidation algorithm was applied to the above two metaschemas, The resulting consolidated metaschema has better structural properties than either of the two metaschemas and better supports user orientation visualization, and navigation of the Semantic Network.