Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape.

ABSTRACT: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". In addition to PubMed, the firs

SUBMITTER: Chatterjee A 

PROVIDER: S-EPMC8070774 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature