
Welcome to the Knowledge Engineering and Intelligent Interfaces (KEII) Research Group.
The aim of the Knowledge Engineering and Intelligent Interfaces (KEII) Research Group is to lead research into information and knowledge capture, in particular utilising automated processes and machine learning techniques, and to investigate processes that engineer and refine knowledge for the purpose of building intelligent systems.
Please use the links to the left to find out more about our group.
Group leader: Prof Lee McCluskey