COVIWD: COVID-19 Wikidata Dashboard

Fariz Darari

doi:10.21609/jiki.v14i1.941

COVIWD: COVID-19 Wikidata Dashboard

Fariz Darari

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

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 http://coviwd.org.

Original language	English
Pages (from-to)	39-47
Journal	Jurnal Ilmu Komputer dan Informasi
Volume	14
Issue number	1
DOIs	https://doi.org/10.21609/jiki.v14i1.941
Publication status	Published - 28 Feb 2021

Keywords

covid-19
Wikidata
Dashboard
Data Modeling
Data Analysis
Data Visualization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.21609/jiki.v14i1.941

Cite this

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title = "COVIWD: COVID-19 Wikidata Dashboard",

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 http://coviwd.org.",

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N2 - 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 http://coviwd.org.

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KW - covid-19

KW - Wikidata

KW - Dashboard

KW - Data Modeling

KW - Data Analysis

KW - Data Visualization

UR - https://jiki.cs.ui.ac.id/index.php/jiki/article/view/941

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DO - 10.21609/jiki.v14i1.941

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JO - Jurnal Ilmu Komputer dan Informasi

JF - Jurnal Ilmu Komputer dan Informasi

IS - 1

ER -

COVIWD: COVID-19 Wikidata Dashboard

Abstract

Keywords

UN SDGs

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