Bona Jonathan P
Department of Biomedical Informatics, University of Arkansas for Medical Sciences.
Yearb Med Inform. 2024 Aug;33(1):216-222. doi: 10.1055/s-0044-1800747. Epub 2025 Apr 8.
To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.
A comprehensive set of KRM-relevant articles published in 2022 and 2023 was retrieved by querying PubMed. Topic modeling with Latent Dirichlet Allocation was used to further refine this query and suggest areas of focus. Selected articles were chosen based on a review of their title and abstract.
An initial set of 8,706 publications were retrieved from PubMed. From these, fifteen papers were ultimately selected matching one of two main themes: KRM for long COVID, and KRM approaches used in combination with generative large language models.
This survey shows the ongoing development and versatility of KRM approaches, both to improve our understanding of a global health crisis and to augment and evaluate cutting edge technologies from other areas of artificial intelligence.
筛选、展示并总结2022年和2023年发表的知识表示与管理（KRM）领域的前沿研究成果。
通过查询PubMed检索出2022年和2023年发表的一整套与KRM相关的文章。使用潜在狄利克雷分配主题建模进一步优化此查询并提出重点关注领域。根据文章标题和摘要的审查选择入选文章。
从PubMed中检索到最初的8706篇出版物。最终从中选出了15篇论文，这些论文符合两个主要主题之一：长新冠的KRM，以及与生成式大语言模型结合使用的KRM方法。
本次综述表明KRM方法在持续发展且具有多功能性，既有助于增进我们对全球健康危机的理解，也有助于增强和评估人工智能其他领域的前沿技术。
