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Knowledge Organization and Representation Group
The Knowledge Organization and Representation Group researches into ways of formally representing knowledge using structured knowledge organization systems, ontologies, and logic.
Work focuses on both theory and methodology in the modelling of domains, and in the use of representations for automatic classification and handling of information, and automated reasoning.
Knowledge organization has always been a core constituent of teaching and research at DIS. It has a long history of leadership in the development of the Anglo-American tradition, and includes among its past members many eminent names in classification, information science, and retrieval, such as S. R. Ranganathan, a student here in the 1920s. Current research centres around the creation of new structured terminologies and syntaxes for subject domains, and on the facet analytical approach to retrieval. We have strong links to research communities within the wider profession, such as the International Society for Knowledge Organization, the Universal Decimal Classification Consortium, and the Bliss Classification Association.
Our knowledge representation research focuses on logic-based methodologies for representing and reasoning about knowledge, beliefs, preferences and causality. Theoretical interests include Reasoning about Action, Nonmonotonic Reasoning and Argumentation Systems. Application areas include the Semantic Web, Software Engineering and Intelligent Environments. KOARG is also part of the Applied Logic Group, an association of London-based academics with an interest in computational logic.
We encourage those interested in pursuing a PhD in the Department of Information Studies on a topic related to knowledge organization, knowledge representation or knowledge-based reasoning to contact us. The KOARG co-directors are Antonis Bikakis, Vanda Broughton and Rob Miller.
Page last modified on 12 sep 13 14:03