Indonesia COVID-19 cases report using Linked Open Data

Nur Aini Rahkmawati; Adam Akbar; Bramantyo Adhilaksono; Fikri Baharuddin; Rahmat Hidayat

doi:10.1016/j.procs.2021.12.151

Indonesia COVID-19 cases report using Linked Open Data

Nur Aini Rahkmawati^*
, Adam Akbar
, Bramantyo Adhilaksono
, Fikri Baharuddin
, Rahmat Hidayat

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	362-369
Number of pages	8
Journal	Procedia Computer Science
Volume	197
DOIs	https://doi.org/10.1016/j.procs.2021.12.151
Publication status	Published - 2021
Event	6th Information Systems International Conference, ISICO 2021 - Virtual, Online, Italy Duration: 7 Aug 2021 → 8 Aug 2021

Keywords

COVID-19
Linked Open Data
RDF
SPARQL

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10.1016/j.procs.2021.12.151

Cite this

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title = "Indonesia COVID-19 cases report using Linked Open Data",

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.",

keywords = "COVID-19, Linked Open Data, RDF, SPARQL",

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note = "Publisher Copyright: {\textcopyright} 2021 The Authors. Published by Elsevier B.V.; 6th Information Systems International Conference, ISICO 2021 ; Conference date: 07-08-2021 Through 08-08-2021",

year = "2021",

doi = "10.1016/j.procs.2021.12.151",

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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

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 - https://www.scopus.com/pages/publications/85123765881

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 -

Indonesia COVID-19 cases report using Linked Open Data

Abstract

Keywords

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