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- Title
Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies.
- Authors
Cui, Licong; Agrawal, Ankur
- Abstract
Ontologies and terminologies serve as the backbone of knowledge representation in biomedical domains, facilitating data integration, interoperability, and semantic understanding across diverse applications. However, the quality assurance and enrichment of these resources remain an ongoing challenge due to the dynamic nature of biomedical knowledge. In this editorial, we provide an introductory summary of seven articles included in this special supplement issue for quality assurance and enrichment of biological and biomedical ontologies and terminologies. These articles span a spectrum of topics, such as development of automated quality assessment frameworks for Resource Description Framework (RDF) resources, identification of missing concepts in SNOMED CT through logical definitions, and developing a COVID interface terminology to enable automatic annotations of COVID-19 related Electronic Health Records (EHRs). Collectively, these contributions underscore the ongoing efforts to improve the accuracy, consistency, and interoperability of biomedical ontologies and terminologies, thus advancing their pivotal role in healthcare and biomedical research.
- Subjects
RDF (Document markup language); KNOWLEDGE representation (Information theory); ELECTRONIC health records; DATA integration; QUALITY assurance
- Publication
BMC Medical Informatics & Decision Making, 2024, Vol 23, Issue 1, p1
- ISSN
1472-6947
- Publication type
Article
- DOI
10.1186/s12911-024-02654-5