Talk by Dr. Asha Subramanian on Semantic Intelligence: Applications and Perspectives at NIT- Kurukshetra at the Faculty Development Program sponsored by the All India Council for Technical Education, Government of India under AICTE Training & Learning (ATAL) Academy.
Talk on Building an End-End Semantic Web Application at NIT- Kurukshetra Faculty Development Program
Experience Semantic Web in action in a multifaceted semantic COVID-19 analysis for India using publicly available datasets on COVID-19 cases in India.
Sandhi Covid19 Analysis India is a semantics powered analytics of COVID-19 Data for India. It is an attempt to demonstrate the power of knowledge graphs and linked data while analyzing disparate datasets on COVID-19 from multiple sources. A detailed entity disambiguation routine identifies the linkable semantic entities from the raw Covid19 datasets using entities from Bharathi and the Geonames Ontology. The event ontology brings together the spatial, event and temporal information for connecting and analyzing events pertaining to the COVID-19 analysis