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DOI: 10.14569/IJACSA.2020.0111115
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Covid-19 Ontology Engineering-Knowledge Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

Author 1: Vinu Sherimon
Author 2: Sherimon P.C
Author 3: Renchi Mathew
Author 4: Sandeep M. Kumar
Author 5: Rahul V. Nair
Author 6: Khalid Shaikh
Author 7: Hilal Khalid Al Ghafri
Author 8: Huda Salim Al Shuaily

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 11, 2020.

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Abstract: COVID-19 pandemic has rapidly spread across the world since its arrival in December 2019 from Wuhan, China. This pandemic has disrupted the health of the citizens in such a way that the impact is enormous in terms of economy and social aspects. Education, employment, income, well-being of the humankind is affected very crucially by this corona virus. Nations world-wide are struggling to battle this emergency. Intensive studies are being carried out to control this pandemic by researchers all over the world. Medical science has advanced a lot with the application of computer assisted solutions in health care. Ontology based clinical decision support systems (CDSS) assist medical practitioners in the diagnosis and treatment of diseases. They are well known in data sharing, interoperability, knowledge reuse, and decision support. This research article presents the development of ontology for SARS-CoV-2 (COVID-19) to be used in a CDSS, which is proposed in the satellite clinics of Royal Oman Police (ROP), Sultanate of Oman. The key concepts and the concept relationships of COVID-19 is represented using an ontology. Semantic Web Rule Language (SWRL) is used to model the rules related to the initial diagnosis of the patient and Semantic Query Enhanced Web Rule Language (SQWRL) is used to retrieve the data stored in the ontology. The developed ontology successfully classified the patients into one of the different categories as non-suspected, suspected, probable, and confirmed. The reasoning time and the query execution time is found to be optimal.

Keywords: COVID-19; ontology; SARS-CoV-2; ontology reasoning; SWRL; SQWRL

Vinu Sherimon, Sherimon P.C, Renchi Mathew, Sandeep M. Kumar, Rahul V. Nair, Khalid Shaikh, Hilal Khalid Al Ghafri and Huda Salim Al Shuaily, “Covid-19 Ontology Engineering-Knowledge Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111115

@article{Sherimon2020,
title = {Covid-19 Ontology Engineering-Knowledge Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111115},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111115},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {Vinu Sherimon and Sherimon P.C and Renchi Mathew and Sandeep M. Kumar and Rahul V. Nair and Khalid Shaikh and Hilal Khalid Al Ghafri and Huda Salim Al Shuaily}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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