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, 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 .
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 .
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the vast amount
vast amounts
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scientific
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the
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COVID-KG
COVID-KG
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and their visual chemical structures, relations
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relations
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,
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. All of the data, KGs, reports, resources and shared services are publicly available