文章基本信息

标题：Covid-19 knowledge graphs in Health Communication and Information
本地全文：下载
作者：Andrew Iliadis
期刊名称：RECIIS - Electronic Journal of Communication, Information & Innovation in Health
电子版ISSN：1981-6278
出版年度：2021
卷号：15
期号：1
页码：06-11
DOI：10.29397/reciis.v15i1.2239
出版社：Institute of Communication and Scientific and Technological Information in Health
摘要：Este ejemplo analiza los desarrollos recientes en la tecnología de ‘gráficos de conocimiento’ durante la pandemia de Covid-19. Recientemente experimentando un aumento en popularidad, los gráficos de conocimiento son tecnologías que ayudan a la integración de datos a través del modelado de metadatos estructurados. Los investigadores etiquetan y recopilan grandes cantidades de datos diversos utilizando gráficos de conocimiento, pero persisten los problemas relacionados con la deriva semántica y cuestiones más importantes relacionadas con la economía política de las tecnologías de la información y la comunicación. Los investigadores deben prever que la semántica de estos gráficos de conocimiento de Covid-19 puede cambiar con el tiempo. También es importante que los investigadores consideren a todas las partes interesadas involucradas, incluso las que podrían quedar excluidas.↓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.
其他摘要：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.
关键词：Covid-19;SARS-CoV-2;gráficos de conocimiento;web semántica;datos vinculados.;Covid-19;SARS-CoV-2;knowledge graphs;semantic web;linked data.
其他关键词：Covid-19;SARS-CoV-2;knowledge graphs;semantic web;linked data.