Authors:
Biswanath Dutta
1
and
Michael DeBellis
2
Affiliations:
1
Indian Statistical Institute, Bangalore, India
;
2
Semantic Web Consultant, San Francisco, CA, U.S.A
Keyword(s):
Domain Ontology, Ontology Engineering, COVID-19 Ontology, Novel Coronavirus Ontology, Disease, Ontology Sharing and Reuse, Semantic Web.
Abstract:
The COVID-19 Ontology for cases and patient information (CODO) provides a model for the collection and analysis of data about the COVID-19 pandemic. The ontology provides a standards-based open source model that facilitates the integration of data from heterogenous data sources. The ontology was designed by analysing disparate COVID-19 data sources such as datasets, literature, services, etc. The ontology follows the best practices for vocabularies by re-using concepts from other leading vocabularies and by using the W3C standards RDF, OWL, SWRL, and SPARQL. The ontology already has one independent user and has incorporated real world data from the government of India.