The aim of the project is to develop novel methods and a complete eco-system of tools to facilitate average users to curate the Knowledge Graph, and to debug and fine tune the whole Knowledge Graph construction and maintenance pipeline effectively.

The challenges involved in this research include:

  • How to provide interactive and highly intelligent tools to facilitate users to curate the Knowledge Graphs?
  • How to quickly figure out the root causes that create an incorrect extraction of knowledge in the whole KG construction pipeline?
  • How to provide and maintain provenance for all the knowledge and the processes in the system?




Key Contact

Associate Professor Wei Wang ([email protected])



Omkar Deshpande, Digvijay S. Lamba, Michel Tourn, Sanjib Das, Sri Subramaniam, Anand Rajaraman, Venky Harinarayan, AnHai Doan: Building, maintaining, and using knowledge bases: a report from the trenches. SIGMOD Conference 2013: 1209-1220

Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, Christopher Ré: Incremental Knowledge Base Construction Using DeepDive. PVLDB 8(11): 1310-1321 (2015)

Xiaoyong Chai, Ba-Quy Vuong, AnHai Doan, Jeffrey F. Naughton: Efficiently incorporating user feedback into information extraction and integration programs. SIGMOD Conference 2009: 87-100

Luc Moreau: The Foundations for Provenance on the Web. Foundations and Trends in Web Science 2(2-3): 99-241 (2010)