Covid-19 knowledge graphs in Health Communication and Information

Auteurs

DOI :

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

Mots-clés :

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

Résumé

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.

Biographie de l'auteur

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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Publiée

2021-03-22

Comment citer

Iliadis, A. (2021). Covid-19 knowledge graphs in Health Communication and Information. Revue De La Communication, De l’Information Et De l’Innovation En Santé, 15(1). https://doi.org/10.29397/reciis.v15i1.2239