Analysis of readability and structural accuracy in SNOMED CT

• Published in: BMC medical informatics and decision making Vol. 20; no. S10; pp. 284 - 21
• Main Authors: Abad-Navarro, Francisco, Quesada-Martínez, Manuel, Duque-Ramos, Astrid, Fernández-Breis, Jesualdo Tomás
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.12.2020; BioMed Central; BMC
• Subjects: Accuracy; Analysis; Annotations; Axioms; Biological Ontologies; Clinical coding; Comprehension; Controlled vocabularies; Flaw detection; Gene Ontology; Hierarchies; Humans; Interoperability; Language; Model accuracy; Modelling; Naming; Natural language; Natural Language Processing; Ontologies; Ontology; Quality assurance; Quality control; Quality management; Quality metrics; Readability; Readability (Literary style); Semantic web; Semantics; Software quality; Structural accuracy; Subject specialists; Systematized Nomenclature of Medicine; Taxonomy; Colombia; Ontologies; Quality assurance; Readability; Structural accuracy; Quality metrics

The increasing adoption of ontologies in biomedical research and the growing number of ontologies available have made it necessary to assure the quality of these resources. Most of the well-established ontologies, such as the Gene Ontology or SNOMED CT, have their own quality assurance processes. Th...