Indonesia COVID-19 cases report using Linked Open Data

Coronavirus disease is a worldwide pandemic. The need for accurate data and information become an important thing in this pandemic situation. In Indonesia, the government provides an official website for displaying COVID-19 spread statistics. However, the data provided does not follow the 5-star ope...

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Detalles Bibliográficos
Autores principales: Rahkmawati, Nur Aini, Akbar, Adam, Adhilaksono, Bramantyo, Baharuddin, Fikri, Hidayat, Rahmat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756766/
https://www.ncbi.nlm.nih.gov/pubmed/35043070
http://dx.doi.org/10.1016/j.procs.2021.12.151
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author Rahkmawati, Nur Aini
Akbar, Adam
Adhilaksono, Bramantyo
Baharuddin, Fikri
Hidayat, Rahmat
author_facet Rahkmawati, Nur Aini
Akbar, Adam
Adhilaksono, Bramantyo
Baharuddin, Fikri
Hidayat, Rahmat
author_sort Rahkmawati, Nur Aini
collection PubMed
description Coronavirus disease is a worldwide pandemic. The need for accurate data and information become an important thing in this pandemic situation. In Indonesia, the government provides an official website for displaying COVID-19 spread statistics. However, the data provided does not follow the 5-star open data. As a result, the data is not reusable and integrated easily into another dataset and application. In this paper, we proposed an RDF vocabulary for presenting COVID-19 data in Indonesia. In addition, two queries are presented as an example for using our vocabulary and dataset as part of Linked Open data movement.
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spelling pubmed-87567662022-01-14 Indonesia COVID-19 cases report using Linked Open Data Rahkmawati, Nur Aini Akbar, Adam Adhilaksono, Bramantyo Baharuddin, Fikri Hidayat, Rahmat Procedia Comput Sci Article Coronavirus disease is a worldwide pandemic. The need for accurate data and information become an important thing in this pandemic situation. In Indonesia, the government provides an official website for displaying COVID-19 spread statistics. However, the data provided does not follow the 5-star open data. As a result, the data is not reusable and integrated easily into another dataset and application. In this paper, we proposed an RDF vocabulary for presenting COVID-19 data in Indonesia. In addition, two queries are presented as an example for using our vocabulary and dataset as part of Linked Open data movement. The Author(s). Published by Elsevier B.V. 2022 2022-01-13 /pmc/articles/PMC8756766/ /pubmed/35043070 http://dx.doi.org/10.1016/j.procs.2021.12.151 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Rahkmawati, Nur Aini
Akbar, Adam
Adhilaksono, Bramantyo
Baharuddin, Fikri
Hidayat, Rahmat
Indonesia COVID-19 cases report using Linked Open Data
title Indonesia COVID-19 cases report using Linked Open Data
title_full Indonesia COVID-19 cases report using Linked Open Data
title_fullStr Indonesia COVID-19 cases report using Linked Open Data
title_full_unstemmed Indonesia COVID-19 cases report using Linked Open Data
title_short Indonesia COVID-19 cases report using Linked Open Data
title_sort indonesia covid-19 cases report using linked open data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756766/
https://www.ncbi.nlm.nih.gov/pubmed/35043070
http://dx.doi.org/10.1016/j.procs.2021.12.151
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