论文标题
在开放研究知识图中代表语义化的生物学测定
Representing Semantified Biological Assays in the Open Research Knowledge Graph
论文作者
论文摘要
在生物技术和生物医学领域中，最近的文本挖掘工作倡导机器解释，最好是语义化的实验室过程的文档格式。这包括湿实验方案，（IN）有机材料合成反应，遗传操作和程序，以更快的计算机介导的分析和预测。本文中，我们介绍了关于开放研究知识图（ORKG）中语义生物测定法的代表的工作。特别是，根据公平原则，我们描述了一个进行实用的语言化系统，以自动而快速地生成，这是促进一致的用户受众所需的关键语义的生物测定数据量量，以采用ORKG来记录其生物测定并促进研究的组织。
In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory processes. This includes wet-lab protocols, (in)organic materials synthesis reactions, genetic manipulations and procedures for faster computer-mediated analysis and predictions. Herein, we present our work on the representation of semantified bioassays in the Open Research Knowledge Graph (ORKG). In particular, we describe a semantification system work-in-progress to generate, automatically and quickly, the critical semantified bioassay data mass needed to foster a consistent user audience to adopt the ORKG for recording their bioassays and facilitate the organisation of research, according to FAIR principles.
