Bharathi-an applied semantic intelligence use case for public data in india

Data sets published for public consumption related to governance typically contain common metadata This metadata normally describes the publishing organisation, the domain, the administrative region and a topic that the data best describes A relevant semantic vocabulary will not only facilitate linking the metadata through meaningful contexts but also enable grounding related information from diverse public data sets using semantic entities defining the metadata In this paper, we present Bharathi -Linked Data Vocabulary for the Indian context Bharathi contains information regarding government organisations at the union & state government level, administrative regions, sectors, sub sectors and common topics used frequently in the vocabulary of the government functions Further, Bharathi contains links to other open vocabularies such as GeoNames for geographical locations The schema of Bharathi uses existing established ontologies making it inter-operable and extensible We describe Bharathi along with a live use case of its application in accomplishing a semantic Covid19 data analysis for India © 2021 CEUR-WS All rights reserved