ABSTRACT
Introduction: One of the ways of coping with COVID-19 concerns aspects related to the production and dissemination of reliable, clear and quickly understood information. There are many communicational and informational actions and initiatives in favor of dissemination and of the means that guarantee the acceptability, adherence and compliance with the prevention and control measures of COVID-19. This research aims to develop a digital environment, understood here as a panel with topics related to COVID-19, based on SPARQL Protocol and RDF Query Language (SPARQL) queries and on the Wikidata dataset. Method: To do so, a theoretical and applied methodology is used, based on the Systematic Literature Review to support the construction of the conceptual corpus underlying the computational technologies from the Semantic Web and Linked Data and its application in the structuring and modeling of the environment, for making scientific data available and sharing. Results: The data collected in the Systematic Literature Review reveal little scientific production available at the international level, however, interesting initiatives are already concerned with the openness and availability of scientific data on the Web. In addition, the information panel on COVID-19 developed is categorized into six main axes, such as Map COVID-19, Symptoms of COVID-19, Possible treatments, Taxonomy, Related works and Related images. Conclusion: Thus, the information panel about COVID-19 presents itself as a digital environment that enhances the visualization, access and sharing of data and information for heterogeneous users, contributing to the transfer of consistent, structured and reliable information, as well as the promotion of public guidelines for controlling the spread of the disease. © 2020 Arakaki, Castro & Arakaki.
ABSTRACT
Introduction: One of the ways of coping with COVID-19 concerns aspects related to the production and dissemination of reliable, clear and quickly understood information. There are many communicational and informational actions and initiatives in favor of dissemination and of the means that guarantee the acceptability, adherence and compliance with the prevention and control measures of COVID-19. This research aims to develop a digital environment, understood here as a panel with topics related to COVID-19, based on SPARQL Protocol and RDF Query Language (SPARQL) queries and on the Wikidata dataset. Method: To do so, a theoretical and applied methodology is used, based on the Systematic Literature Review to support the construction of the conceptual corpus underlying the computational technologies from the SemanticWeb and Linked Data and its application in the structuring and modeling of the environment, for making scientific data available and sharing. Results: The data collected in the Systematic Literature Review reveal little scientific production available at the international level, however, interesting initiatives are already concerned with the openness and availability of scientific data on theWeb. In addition, the information panel on COVID-19 developed is categorized into six main axes, such as Map COVID-19, Symptoms of COVID-19, Possible treatments, Taxonomy, Related works and Related images. Conclusion: Thus, the information panel about COVID-19 presents itself as a digital environment that enhances the visualization, access and sharing of data and information for heterogeneous users, contributing to the transfer of consistent, structured and reliable information, as well as the promotion of public guidelines for controlling the spread of the disease.