The Synthetic Biology Knowledge System (SBKS) is an instance of the SynBioHub repository that includes text and data information that has been mined from papers published in ACS Synthetic Biology. This paper describes the SBKS curation framework that is being developed to construct the knowledge stored in this repository. The text mining pipeline performs automatic annotation of the articles using natural language processing techniques to identify salient content such as key terms, relationships between terms, and main topics. The data mining pipeline performs automatic annotation of the sequences extracted from the supplemental documents with the genetic parts used in them. Together these two pipelines link genetic parts to papers describing the context in which they are used. Ultimately, SBKS will reduce the time necessary for synthetic biologists to find the information necessary to complete their designs.

中文翻译：

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合成生物学知识体系

Synthetic Biology Knowledge System (SBKS) 是 SynBioHub 存储库的一个实例，其中包括从 ACS Synthetic Biology 上发表的论文中挖掘出来的文本和数据信息。本文描述了正在开发的 SBKS 管理框架，用于构建存储在此存储库中的知识。文本挖掘管道使用自然语言处理技术对文章进行自动注释，以识别关键术语、术语之间的关系和主要主题等显着内容。数据挖掘管道对从补充文档中提取的序列以及其中使用的遗传部分执行自动注释。这两条管道一起将遗传部分与描述它们使用环境的论文联系起来。最终，