Literature DB >> 35043070

Indonesia COVID-19 cases report using Linked Open Data.

Nur Aini Rahkmawati1, Adam Akbar1, Bramantyo Adhilaksono1, Fikri Baharuddin1, Rahmat Hidayat1.   

Abstract

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.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  COVID-19; Linked Open Data; RDF; SPARQL

Year:  2022        PMID： 35043070      PMCID： PMC8756766          DOI： 10.1016/j.procs.2021.12.151

Source DB:  PubMed          Journal:  Procedia Comput Sci


  2 in total

1.  A citizen science initiative for open data and visualization of COVID-19 outbreak in Kerala, India.

Authors:  Jijo Pulickiyil Ulahannan; Nikhil Narayanan; Nishad Thalhath; Prem Prabhakaran; Sreekanth Chaliyeduth; Sooraj P Suresh; Musfir Mohammed; E Rajeevan; Sindhu Joseph; Akhil Balakrishnan; Jeevan Uthaman; Manoj Karingamadathil; Sunil Thonikkuzhiyil Thomas; Unnikrishnan Sureshkumar; Shabeesh Balan; Neetha Nanoth Vellichirammal
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

2.  Molecular epidemiology analysis of early variants of SARS-CoV-2 reveals the potential impact of mutations P504L and Y541C (NSP13) in the clinical COVID-19 outcomes.

Authors:  Canhui Cao; Liang He; Yuan Tian; Yu Qin; Haiyin Sun; Wencheng Ding; Lingli Gui; Peng Wu
Journal:  Infect Genet Evol       Date:  2021-03-31       Impact factor: 3.342
  2 in total

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