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Indonesia COVID-19 cases report using Linked Open Data.

Nur Aini Rahkmawati1, Adam Akbar1, Bramantyo Adhilaksono1

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

Procedia Computer Science
|January 19, 2022
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Summary
This summary is machine-generated.

This study introduces an RDF vocabulary to improve COVID-19 data usability in Indonesia. Making data open and reusable enhances its integration and accessibility for researchers and applications.

Keywords:
COVID-19Linked Open DataRDFSPARQL

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Area of Science:

  • Data Science
  • Information Science
  • Public Health

Background:

  • The global Coronavirus Disease (COVID-19) pandemic necessitates reliable data for informed decision-making.
  • Indonesia's official COVID-19 data lacks adherence to open data standards, hindering reusability and integration.
  • Current data accessibility challenges impede effective data sharing and application development.

Purpose of the Study:

  • To propose a Resource Description Framework (RDF) vocabulary tailored for presenting COVID-19 data in Indonesia.
  • To enhance the reusability and interoperability of Indonesian COVID-19 datasets.
  • To support the Linked Open Data movement by making health data more accessible.

Main Methods:

  • Development of a domain-specific RDF vocabulary for COVID-19 statistics.
  • Application of the RDF vocabulary to existing Indonesian COVID-19 data.
  • Demonstration of data integration capabilities through example queries.

Main Results:

  • The proposed RDF vocabulary facilitates structured representation of COVID-19 data.
  • Example queries showcase the potential for data integration within a Linked Open Data framework.
  • The vocabulary addresses the limitations of the current 5-star open data approach.

Conclusions:

  • The developed RDF vocabulary significantly improves the reusability and integration of Indonesian COVID-19 data.
  • Implementing this vocabulary aligns Indonesian health data with Linked Open Data principles.
  • This initiative supports better data-driven responses to the ongoing pandemic.