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Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies.
Cui, Licong; Agrawal, Ankur.
Afiliación
  • Cui L; McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA. licong.cui@uth.tmc.edu.
  • Agrawal A; Department of Computer Science, St. Edward's University, Austin, TX, USA.
BMC Med Inform Decis Mak ; 23(Suppl 1): 302, 2024 Aug 30.
Article en En | MEDLINE | ID: mdl-39215285
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ontologías Biológicas Límite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ontologías Biológicas Límite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos