SAQI: An Ontology based Knowledge GraphPlatform for Social Air Quality Index
Authors/Creators
- 1. IIIT-Delhi, Delhi, India
- 2. Dr. B. R. Ambedkar University, Delhi, India.
- 3. IIT Delhi, Delhi, India.
Description
This dataset consists of all contributions made by Social AQI (SAQI) project. The description of dataset is as below -
Local Sensor Data (hyperlocal-air-quality-sensor-data) - contains all sensors values recorded through local neighbourhood sensors throught the length of the project
Locations for all these sensors are as below - In Najafgarh, Delhi, India : Jharoda Kalan, Nangli Dairy and DTC Bus terminal.
In Okhla : Sanjay Colony, Tekhand, Shaheen Bagh.
Data from Central Pollution Control Board (central-air-quality-sensor-data) - Najafgarh_CPCB.csv, Okhla_CPCB.csv : Contains data provided by CPCB from Najafgarh,Delhi and Oklha, Delhi
PollutionODP.owl : Ontology Design Pattern for pollution - http://ontologydesignpatterns.org/wiki/Submissions:Pollution.
Ontology : SAQI ontology as triples (ttl), xml (rdf) and json-ld (json) serialization format
Ontology documentation : ontology/diagram contains figures describing ontology, ontology/documentation/saqi.html contains LODE documentation for the ontology
ethnographic-survey-data - anonymized survey responses for initial pollution perception and literacy survey as well as SAQI app feedback survey.
SHACL-shapes - for validating against SAQI ontology.
sparql-queries - sample queries to run on our ontology.
setup-rdf-store-script - script to setup rdf store with given data using rml mapper.