COVID-19: Disease Pattern Study based on Semantic-Web Approach using Description Logic

Abstract

Description Logic elucidates statement using the methodology of reasoning. Description logic combined with semantics, forms the treasured Description logic ontology. Several studies have depicted semantics of Description Logic, using concepts and roles. In this paper, the disease pattern with respect to pandemic COVID-19 is studied. The proposed study aims to give semantically rich meaning to the disease pattern of COVID-19. The outbreak of Coronavirus has deeply devastated all forms of human pursuit. The main aim of our paper is to use Description Logic ontologies and the semantic web-based approach to remove ambiguity developed around spread of COVID-19. Semantics combined with Description Logic, thus serves the purpose of imparting meaning to words, so that their interpretation is correctly done. In this paper, proper reasoning is provided to facts so that they can be trusted without any further doubt or thought.