An Overview of Ontologies and Tool Support for COVID-19 Analytics

@article{Ahmad2021AnOO,
  title={An Overview of Ontologies and Tool Support for COVID-19 Analytics},
  author={Aakash Ahmad and Madhushi Bandara and Mahdi Fahmideh and Henderik Alex Proper and Giancarlo Guizzardi and Jeffrey Soar},
  journal={2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)},
  year={2021},
  pages={1-8}
}
  • Aakash AhmadM. Bandara J. Soar
  • Published 1 October 2021
  • Computer Science
  • 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)
Context: The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) demands empowering existing medical, economic, and social emergency backend systems with data analytics capabilities. An impediment in taking advantages of data analytics in these systems is the lack of a unified framework or reference model. Ontologies are highlighted as a promising solution to bridge this gap by providing a formal representation of COVID-19 concepts such as symptoms, infections… 

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