A structured platform for air quality data

Abstract

Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ontology to model the hyperlocal data of pollutants and social data of a locality; starting out with regions around Delhi NCR. The ontology model has been further used for creating a user application that incorporates air quality data along with ethnographic data collected from local surveys and interviews to tackle the problem of knowledge barrier in understanding AQI and air pollution.