Building the COVID-19 Portal By Integrating Literature, Clinical Trials, and Knowledge Graphs

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI:10.1109/JCDL52503.2021.00040

Aoshen Wan, Yan Zhan, Sanjana Tripathi, Jiarong Yang, Mona Sachdev, Shreya Paithankar, J. Duerksen, Bin Chen, Ying Ding

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Abstract

The outbreak of COVID-19 has a severe impact on our families, communities, and businesses. Researchers, practitioners, and administrators need a tool to help them digest this enormous amount of knowledge to address various scientific questions related to COVID-19. With CORD-19 dataset, this paper showcases the COVID-19 portal to portray the research profiles of scientists, bio entities (e.g., gene, drug, disease), and institutions based on the integration of CORD-19 research literature, COVID-19 related clinical trials, PubMed knowledge graph, and the drug discovery knowledge graph. This portal provides the following profiles related to COVID-19: 1) the profile of a research scientist with his/her COVID-19 related publications and clinical trials with tweets amount; 2) the profile of a bio entity which could be a gene, a drug, or a disease with articles and clinical trials; and 3) the profile of an institution with papers authored by researchers from this institution.

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通过整合文献、临床试验和知识图谱构建COVID-19门户网站

2019冠状病毒病的爆发对我们的家庭、社区和企业产生了严重影响。研究人员、从业人员和管理人员需要一种工具来帮助他们消化这些大量的知识，以解决与COVID-19相关的各种科学问题。本文利用CORD-19数据集，在整合CORD-19研究文献、COVID-19相关临床试验、PubMed知识图谱和药物发现知识图谱的基础上，展示了COVID-19门户网站，以描绘科学家、生物实体(如基因、药物、疾病)和机构的研究概况。该门户提供以下与COVID-19相关的个人资料:1)研究科学家的个人资料及其与COVID-19相关的出版物和临床试验(tweet数量);2)生物实体的概况，可以是基因、药物或疾病，并附有文章和临床试验;3)该机构的概况，该机构的研究人员撰写的论文。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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