Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
The Semantics of Relationships: An Interdisciplinary Perspective
The Semantics of Relationships: An Interdisciplinary Perspective
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
Consistency across the hierarchies of the UMLS semantic network and metathesaurus
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
Modeling a description logic vocabulary for cancer research
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
Using OWL to model biological knowledge
International Journal of Human-Computer Studies
Automated comparative auditing of NCIT genomic roles using NCBI
Journal of Biomedical Informatics
Structural group-based auditing of missing hierarchical relationships in 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
Guest Editorial: Special Issue on Auditing of Terminologies
Journal of Biomedical Informatics
A quality improvement model for healthcare terminologies
Journal of Biomedical Informatics
Validating the semantics of a medical iconic language using ontological reasoning
Journal of Biomedical Informatics
Enhancing semantic relation quality of UMLS knowledge sources
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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Objectives: This paper proposes a novel semantic method for auditing associative relations in biomedical terminologies. We tested our methodology on two Unified Medical Language System (UMLS) knowledge sources. Methods: We use the UMLS semantic groups as high-level representations of the domain and range of relationships in the Metathesaurus and in the Semantic Network. A mapping created between Metathesaurus relationships and Semantic Network relationships forms the basis for comparing the signatures of a given Metathesaurus relationship to the signatures of the semantic relationship to which it is mapped. The consistency of Metathesaurus relations is studied for each relationship. Results: Of the 177 associative relationships in the Metathesaurus, 84 (48%) exhibit a high-degree of consistency with the corresponding Semantic Network relationships. Overall, 63% of the 1.8M associative relations in the Metathesaurus are consistent with relations in the Semantic Network. Conclusion: The semantics of associative relationships in biomedical terminologies should be defined explicitly by their developers. The Semantic Network would benefit from being extended with new relationships and with new relations for some existing relationships. The UMLS editing environment could take advantage of the correspondence established between relationships in the Metathesaurus and the Semantic Network. Finally, the auditing method also yielded useful information for refining the mapping of associative relationships between the two sources.