School of Computer Science

Knowledge Management Group


The group works on a broad range of topics in both theoretical and applied research, including: conceptual modelling, data mining, data quality, data warehousing, database theory, e-science, information access, information retrieval, knowledge management, knowledge representation, machine learning, ontologies, and the semantic web

Members (academic staff or PhD students):

Gillian Dobbie, Yun Sing Koh, Mark Gahegan, Sebastian Link, Bernhard Pfahringer, Pat Riddle