  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.
