Designing a controlled medical vocabulary server: the VOSER project
Computers and Biomedical Research
User-Driven Ontology Evolution Management
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
The cohesive metaschema: a higher-level abstraction of the UMLS semantic network
Journal of Biomedical Informatics
Semantic refinement and error correction in large terminological knowledge bases
Data & Knowledge Engineering
Evaluation of the draft international standard for a reference terminology model for nursing actions
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Towards the development of a conceptual distance metric for the UMLS
Journal of Biomedical Informatics
Designing metaschemas for the UMLS enriched semantic network
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
IDEAS-DH '04 Proceedings of the IDEAS Workshop on Medical Information Systems: The Digital Hospital
Artificial Intelligence in Medicine
Automated comparative auditing of NCIT genomic roles using NCBI
Journal of Biomedical Informatics
Structural group auditing of a UMLS semantic type's extent
Journal of Biomedical Informatics
Using WordNet synonym substitution to enhance UMLS source integration
Artificial Intelligence in Medicine
Practical experience with the maintenance and auditing of a large medical ontology
Journal of Biomedical Informatics
Description logic-based methods for auditing frame-based medical terminological systems
Artificial Intelligence in Medicine
A framework for ontology evolution in collaborative environments
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Partitioning the UMLS semantic network
IEEE Transactions on Information Technology in Biomedicine
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
Using SPARQL to test for lattices: application to quality assurance in biomedical ontologies
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Improving the mapping between MedDRA and SNOMED CT
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Using SNOMED semantic concept groupings to enhance semantic-type assignment consistency in the UMLS
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Auditing complex concepts of SNOMED using a refined hierarchical abstraction network
Journal of Biomedical Informatics
Overcoming an obstacle in expanding a UMLS semantic type extent
Journal of Biomedical Informatics
Journal of Biomedical Informatics
A study of terminology auditors' performance for UMLS semantic type assignments
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
A RELATIONSHIP-CENTRIC HYBRID INTERFACE FOR BROWSING AND AUDITING THE UMLS
Journal of Integrated Design & Process Science
Contrasting lexical similarity and formal definitions in SNOMED CT: Consistency and implications
Journal of Biomedical Informatics
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Although controlled biomedical terminologies have been with us for centuries, it is only in the last couple of decades that close attention has been paid to the quality of these terminologies. The result of this attention has been the development of auditing methods that apply formal methods to assessing whether terminologies are complete and accurate. We have performed an extensive literature review to identify published descriptions of these methods and have created a framework for characterizing them. The framework considers manual, systematic and heuristic methods that use knowledge (within or external to the terminology) to measure quality factors of different aspects of the terminology content (terms, semantic classification, and semantic relationships). The quality factors examined included concept orientation, consistency, non-redundancy, soundness and comprehensive coverage. We reviewed 130 studies that were retrieved based on keyword search on publications in PubMed, and present our assessment of how they fit into our framework. We also identify which terminologies have been audited with the methods and provide examples to illustrate each part of the framework.