COVID-19 Knowledge Graph from semantic integration of biomedical literature and databases.
COVID-19 Knowledge Graph from semantic integration of biomedical literature and databases.
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DOI：
10.1093/bioinformatics/btab694
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发表时间：
2021-12-07
期刊：
影响因子：
--
通讯作者：
Wu CH
中科院分区：
文献类型：
--
作者：
Chen C;Ross KE;Gavali S;Cowart JE;Wu CH
全球对COVID-19大流行的应对措施导致有关这一致命疾病的科学文献迅速增加。从生物医学文献中提取知识并将其与精心整理的生物数据库中的相关信息相结合，对于深入了解COVID-19的病因、诊断和治疗至关重要。我们使用语义Web技术RDF将iTextMine、PubTator和SemRep从文献中挖掘的COVID-19知识与相关生物数据库进行整合，并将其形式化为标准化、可计算的COVID-19知识图（KG）。我们通过SPARQL端点发布了COVID-19 KG，以支持语义Web上的联邦查询，并开发了具有浏览和搜索接口的知识门户。我们还开发了一个RESTful API来支持程序化访问，并提供RDF转储供下载。COVID-19知识图谱根据CC-BY 4.0许可在https://research.bioinformatics.udel.edu/covid19kg/上公开提供。补充数据可在生物信息学网站获得。
The global response to the COVID-19 pandemic has led to a rapid increase of scientific literature on this deadly disease. Extracting knowledge from biomedical literature and integrating it with relevant information from curated biological databases is essential to gain insight into COVID-19 etiology, diagnosis and treatment. We used Semantic Web technology RDF to integrate COVID-19 knowledge mined from literature by iTextMine, PubTator and SemRep with relevant biological databases and formalized the knowledge in a standardized and computable COVID-19 Knowledge Graph (KG). We published the COVID-19 KG via a SPARQL endpoint to support federated queries on the Semantic Web and developed a knowledge portal with browsing and searching interfaces. We also developed a RESTful API to support programmatic access and provided RDF dumps for download. The COVID-19 Knowledge Graph is publicly available under CC-BY 4.0 license at https://research.bioinformatics.udel.edu/covid19kg/. Supplementary data are available at Bioinformatics online.
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影响因子：
4.5
作者：
Zhang R;Hristovski D;Schutte D;Kastrin A;Fiszman M;Kilicoglu H
通讯作者：
Kilicoglu H
DOI：
10.1016/j.patter.2020.100155
发表时间：
2021-01-08
期刊：
Patterns (New York, N.Y.)
影响因子：
--
作者：
Reese JT;Unni D;Callahan TJ;Cappelletti L;Ravanmehr V;Carbon S;Shefchek KA;Good BM;Balhoff JP;Fontana T;Blau H;Matentzoglu N;Harris NL;Munoz-Torres MC;Haendel MA;Robinson PN;Joachimiak MP;Mungall CJ
通讯作者：
Mungall CJ
DOI：
10.1146/annurev-biodatasci-021821-061045
发表时间：
2021-01-01
期刊：
ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 4
影响因子：
--
作者：
Chen, Qingyu;Leaman, Robert;Lu, Zhiyong
通讯作者：
Lu, Zhiyong
影响因子：
4.5
作者：
Rosemblat, Graciela;Shin, Dongwook;Rindflesch, Thomas C.
通讯作者：
Rindflesch, Thomas C.
影响因子：
14.9
作者：
Wei, Chih-Hsuan;Allot, Alexis;Lu, Zhiyong
通讯作者：
Lu, Zhiyong