Impact of Covid-19 Outbreak on Performance of Indian Banking Sector.

Abstract

The COVID-19 pandemic adversely impacted various industrial sectors of India as well as other countries across globe In India, impact is resulting to a negative growth rate in economy Many sectors were performing good before the pandemic but now they have been pulled down by this pandemic So, it is very much required to analyze and cater the data about those sectors which are badly impacted by pandemic, these sectors play vital role in Indian economy One of the most important sector of Indian economy is banking sector which is responsible for all the financial activities going on in the country and working as a supporting hand to all of the industries in term of financing, credit, transactions, collection and payment and so on There are so many reports containing numerous data are in public domain stating the effects of this virus pandemic The data is not only in physical form but also it is scattered in various format over the internet Though the data amount is enormous, the major problem is to get the appropriate data according to the user needs The databases available online are being regularly updated but these databases are not able to provide inference over the knowledge already stored By using inference capability, we can fetch latent and indirect information out of the knowledge base Various ontologies for Covid-19 are available online but they do not focus on the performance of banking sector of India during Covid- 19 So, many times users do not get appropriate information according to the imposed query This article attempts to highlight the repercussions of the Covid-19 in the performance of the Indian banking sector by creating and evaluating the largest comprehensive knowledge base called ontology (Covid19-IBO) in order to get semantic information, in continuation of the same we address few important research questions with respect to Indian economy © 2021 CEUR-WS All rights reserved