COVID-19 Knowledge Graph from semantic integration of biomedical literature and databases

• DOI: 10.1093/bioinformatics/btab694
• Publication Date: 2021-10-06T01:13:28Z
• Authors: Chuming Chen; Karen E Ross; Sachin Gavali; Julie E Cowart; Cathy H Wu
• Keywords: Download; Knowledge graph

Abstract Summary The global response to the COVID-19 pandemic has led a rapid increase of scientific literature on this deadly disease. Extracting knowledge from biomedical and integrating it with relevant information curated biological databases is essential gain insight into etiology, diagnosis treatment. We used Semantic Web technology RDF integrate mined by iTextMine, PubTator SemRep formalized in standardized computable Knowledge Graph (KG). published KG via SPARQL endpoint support federated queries developed portal browsing searching interfaces. also RESTful API programmatic access provided dumps for download. Availability implementation publicly available under CC-BY 4.0 license at https://research.bioinformatics.udel.edu/covid19kg/. Supplementary data are Bioinformatics online.