关于生物和生物医学本体和术语的质量保证和丰富的特别增刊。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Licong Cui, Ankur Agrawal
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引用次数: 0

摘要

本体和术语是生物医学领域知识表征的支柱,可促进数据集成、互操作性和不同应用之间的语义理解。然而,由于生物医学知识的动态性质,这些资源的质量保证和丰富仍然是一个持续的挑战。在这篇社论中,我们对本特刊增刊中收录的七篇文章进行了介绍性总结,这些文章涉及生物和生物医学本体和术语的质量保证和丰富。这些文章涉及多个主题,如为资源描述框架(RDF)资源开发自动质量评估框架、通过逻辑定义识别 SNOMED CT 中缺失的概念,以及开发 COVID 接口术语以实现 COVID-19 相关电子健康记录(EHR)的自动注释。总之,这些贡献强调了为提高生物医学本体和术语的准确性、一致性和互操作性所做的不懈努力,从而推动了它们在医疗保健和生物医学研究中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies.

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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CiteScore
7.20
自引率
4.30%
发文量
567
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