论文标题
COVID-19文献知识图构建和药物重新利用报告生成
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
论文作者
论文摘要
为了对抗Covid-19，临床医生和科学家都需要在科学文献中消化大量相关的生物医学知识，以了解疾病机制和相关的生物学功能。我们已经开发了一种新颖而全面的知识发现框架，即COVID-KG从科学文献中提取细粒度的多媒体知识元素（实体及其视觉化学结构，关系和事件）。然后，我们利用药物重新利用作为案例研究来利用构建的多媒体知识图（kgs）来回答和报告生成。我们的框架还提供了详细的上下文句子，子图和知识子图作为证据。
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, 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.
