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

Procedia Comput Sci. 2022:197:362-369. doi: 10.1016/j.procs.2021.12.151. Epub 2022 Jan 13.

Authors

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

Affiliation

¹ Departement of Information Systems, Institut Teknologi Sepuluh Nopember, Jl. Raya ITS, Keputih, Sukolilo, Surabaya, 60111, Indonesia.

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.