Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA.
Bioinformatics. 2012 Dec 1;28(23):3158-60. doi: 10.1093/bioinformatics/bts591. Epub 2012 Oct 8.
Effective access to the vast biomedical knowledge present in the scientific literature is challenging. Semantic relations are increasingly used in knowledge management applications supporting biomedical research to help address this challenge. We describe SemMedDB, a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations. We propose the repository as a knowledge resource that can assist in hypothesis generation and literature-based discovery in biomedicine as well as in clinical decision-making support.
The SemMedDB repository is available as a MySQL database for non-commercial use at http://skr3.nlm.nih.gov/SemMedDB. An UMLS Metathesaurus license is required.
有效地获取科学文献中大量的生物医学知识具有挑战性。语义关系越来越多地被用于支持生物医学研究的知识管理应用程序中，以帮助解决这一挑战。我们描述了 SemMedDB，这是一个从整个 PubMed 引文集中提取的语义断言（主语-谓语-宾语三元组）的存储库。我们提出该存储库作为一种知识资源，可以帮助在生物医学领域生成假说和基于文献的发现，以及支持临床决策。
SemMedDB 存储库可作为非商业用途的 MySQL 数据库在 http://skr3.nlm.nih.gov/SemMedDB 上使用。需要 UMLS 术语学许可证。
