Representing biomedical knowledge in the UMLS semantic network
High performance medical libraries
Controlled Vocabularies in OODBs: Modeling Issues and Implementation
Distributed and Parallel Databases
IEEE Transactions on Knowledge and Data Engineering
The cohesive metaschema: a higher-level abstraction of the UMLS semantic network
Journal of Biomedical Informatics
Partitioning the UMLS semantic network
IEEE Transactions on Information Technology in Biomedicine
Research on structural issues of the UMLS: past, present, and future
Journal of Biomedical Informatics - Special issue: Unified medical language system
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
A lexical metaschema for the UMLS semantic network
Artificial Intelligence in Medicine
Comparing and consolidating two heuristic metaschemas
Journal of Biomedical Informatics
A review of auditing methods applied to the content of controlled biomedical terminologies
Journal of Biomedical Informatics
An expert study evaluating the UMLS lexical metaschema
Artificial Intelligence in Medicine
Evidence theory based knowledge representation
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
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The enriched semantic network (ESN) has previously been presented as an enhancement of the semantic network (SN) of the UMLS. The ESN's hierarchy is a DAG (Directed Acyclic Graph) structure allowing for multiple parents. The ESN is thus more complex than the SN and can be more difficult to view and comprehend. We have previously introduced the notion of a metaschema for the SN as a compact abstraction to support SN comprehension. We extend the definition of metaschema to make it applicable to a DAG classification hierarchy, such as the one exhibited by the ESN. We specify the requirements for and describe the general process of deriving such a metaschema. We derive two particular metaschemas of the ESN based on a pair of partitious. These two metaschemas and their underlying partitions are compared. Both metaschemas serve as compact representations of the ESN, allowing for convenient viewing of its hierarchy and easier comprehension.