TY - JOUR
T1 - Indonesia COVID-19 cases report using Linked Open Data
AU - Rahkmawati, Nur Aini
AU - Akbar, Adam
AU - Adhilaksono, Bramantyo
AU - Baharuddin, Fikri
AU - Hidayat, Rahmat
N1 - Publisher Copyright:
© 2021 The Authors. Published by Elsevier B.V.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - COVID-19
KW - Linked Open Data
KW - RDF
KW - SPARQL
UR - http://www.scopus.com/inward/record.url?scp=85123765881&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.12.151
DO - 10.1016/j.procs.2021.12.151
M3 - Conference article
AN - SCOPUS:85123765881
SN - 1877-0509
VL - 197
SP - 362
EP - 369
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 6th Information Systems International Conference, ISICO 2021
Y2 - 7 August 2021 through 8 August 2021
ER -