Covid-19 knowledge graphs in Health Communication and Information

Authors

DOI:

https://doi.org/10.29397/reciis.v15i1.2239

Keywords:

Covid-19, SARS-CoV-2, knowledge graphs, semantic web, linked data.

Abstract

This commentary discusses recent developments in ‘knowledge graph’ technology over the course of the Covid-19 pandemic. Recently experiencing a surge in popularity, knowledge graphs are technologies that assist with data integration through structured metadata modeling. Researchers tag and collate vast  amounts of diverse data using knowledge graphs, yet problems related to semantic drift and more salient issues related to the political economy of information and communication technologies persist. Researchers should anticipate that the semantics of these Covid-19 knowledge graphs can change over time. Equally important, researchers should also consider all stakeholders involved, including those stakeholders that might be excluded.

Author Biography

Andrew Iliadis, Temple University, Lew Klein College of Media and Communication, Department of Media Studies and Production. Philadelphia, PA

PhD in Communication and Philosophy by Purdue University.

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Published

2021-03-22

How to Cite

Iliadis, A. (2021). Covid-19 knowledge graphs in Health Communication and Information. Revista Eletrônica De Comunicação, Informação & Inovação Em Saúde, 15(1). https://doi.org/10.29397/reciis.v15i1.2239