Covid-19 knowledge graphs in Health Communication and Information
DOI:
https://doi.org/10.29397/reciis.v15i1.2239Keywords:
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.Downloads
Published
How to Cite
Issue
Section
License
Author’s rights: The author retains unrestricted rights over his work.
Rights to reuse: Reciis adopts the Creative Commons License, CC BY-NC non-commercial attribution according to the Policy on Open Access to Knowledge by Oswaldo Cruz Foundation. With this license, access, download, copy, print, share, reuse, and distribution of articles is allowed, provided that it is for non-commercial use and with source citation, granting proper authorship credits and reference to Reciis. In such cases, no permission is required from the authors or editors.
Rights of authors’s deposit / self-archiving: The authors are encouraged to deposit the published version, along with the link of their article in Reciis, in institutional repositories.