COVIWD: COVID-19 Wikidata Dashboard

Fariz Darari, Fariz Darari (2021) COVIWD: COVID-19 Wikidata Dashboard. Jurnal Ilmu Komputer dan Informasi, 14 (1). pp. 39-47. ISSN e-ISSN 2502-9274

Text COVIWD COVID-19 Wikidata Dashboard.pdf - Other Download (492kB)

Abstract

COVID-19 (short for coronavirus disease 2019) is an emerging infectious disease that has had a tremendous
impact on our daily lives. Globally, there have been over 95 million cases of COVID-19 and 2 million
deaths across 191 countries and regions. The rapid spread and severity of COVID-19 call for a monitoring
dashboard that can be developed quickly in an adaptable manner. Wikidata is a free, collaborative knowledge
graph, collecting structured data about various themes, including that of COVID-19. We present COVIWD, a
COVID-19 Wikidata dashboard, which provides a one-stop information/visualization service for topics related
to COVID-19, ranging from symptoms and risk factors to comparison of cases and deaths among countries.
The dashboard is one of the first that leverages open knowledge graph technologies, namely, RDF (for data
modeling) and SPARQL (for querying), to give a live, concise snapshot of the COVID-19 pandemic. The
use of both RDF and SPARQL enables rapid and flexible application development. COVIWD is available at

Item Type:	Article
Uncontrolled Keywords:	COVID-19, Wikidata, Dashboard, Data Modeling, Data Analysis, Data Visualization
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	17 Nov 2022 01:35
Last Modified:	17 Nov 2022 01:35
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1837

Actions (login required)

View Item