لمكافحة Covid-19، يحتاج كلا من الأطباء والعلماء إلى هضم كمية شاسعة من المعرفة الطبية الحيوية ذات الصلة في الأدب لفهم آلية المرض والوظائف البيولوجية ذات الصلة.لقد قمنا بتطوير إطار اكتشاف رواية وشامل للمعرفة، Covid-KG لاستخراج عناصر المعرفة بالوسائط المتعددة المحتلة الجميلة (الكيانات والعلاقات والأحداث) من الأدبيات العلمية.ثم نستغل الرسوم البيانية المعرفة بالوسائط المتعددة المبنية (KGS) على الإجابة على السؤال وتوليد التقارير، باستخدام المخدرات تسديدها كدراسة حالة.يوفر إطار عملنا أيضا جمل سياقية مفصلة، فرعية فرعية، وبرقراطية المعرفة كدليل.جميع البيانات، KGS، تقارير.
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.
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