To combat COVID-19, both clinicians and scientists need to digest the vast amount of relevant biomedical knowledge in literature to understand the disease mechanism and the related biological functions. We have developed a novel and comprehensive knowledge discovery framework, \textbf{COVID-KG} to extract fine-grained multimedia knowledge elements (entities, relations and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures and knowledge subgraphs as evidence. All of the data, KGs, reports, resources and shared services are publicly available.
翻译:为了与COVID-19作斗争,临床医生和科学家都需要消化文献中大量相关的生物医学知识,以了解疾病机制和相关的生物功能,我们开发了一个新颖和全面的知识发现框架,\ textbf{COVID-KG}以便从科学文献中提取精细的多媒体知识元素(实体、关系和事件),然后我们利用已建造的多媒体知识图(KGs)回答问题和报告生成,利用药物的重新定位作为案例研究,我们的框架还提供详细的背景句子、子图和知识子集作为证据,所有数据、KGs、报告、资源和共享服务都公开提供。