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Knowledge Based Systems Group
The knowledge based systems group conducts research on knowledge modelling, discovery and acquisition. They have a proven record in developing innovative techniques for applying knowledge-based systems to real-world problems, especially for product design and decision-support. The group has three main strengths: constraint programming, case-based reasoning, and knowledge discovery from text.
Among the projects in this group, advanced knowledge engineering tools have been developed for building and maintaining knowledge-based systems and these have been applied to decision support tools in several domains, such as pharmacy and engineering.
People in the Knowledge Based Systems Group
Researchers: Ibrahim Adeyanju, Hatem Ahriz, Ines Arana, Robin Boswell, Susan Craw, Kit-Ying Hui, Robert Lothian, Stewart Massie, Nirmalie WiratungaResearch Students: David Gilmore, Ben Horsburgh, Kabiru Saka, Amina Magaji Sambo, Sadiq Sani
Previous Members: Stella Asiimwe, Muhammed Basharu, Ganesan Bathumalai, Sutanu Chakraborti, David Lee, Bo Hu, Jacek Jarmulak, Keith Matthews, Peter Milne, Rahman Mukras, Bayo Omomowo, Amandine Orecchioni, Apkar Salatian, Rainer Schmidt, Dietrich Wettschereck
Projects
- Distributed Constraint Satisfaction in Dynamic Environments (DynABT)
- Hybrid Algorithms for Distributed Constraint Satisfaction (PenDHyb, Multi-Hyb)
- Penalty-driven Algorithms for Distributed Constraint Satisfaction (DisPeL, Stoch-DisPeL, Multi-DisPeL)
- Weight-Based Algorithms for Distributed Constraint Satisfaction (DisBO-wd)
- Extending Reasoning about Constrained Taxonomies (EXTRACT)
- RECOP: Representing and Reformulating Constraint and Optimisation Problems
- Specification of Constraint Problems using the Z Language
Case-Based Reasoning
- CBR for Remote Patient Health-Care Monitoring (KTP)
- Complexity Modelling for CBR Systems
- MediCACE - Medical Decision Support with CBR
- Knowledge Discovery for CBR
- KRUSTWORKS - automated knowledge refinement
Knowledge Discovery from Text
- Textual Revision Applications in NLG and TCBR
- Knowledge Acquisition for Textual CBR (UKIERI project with IIT Madras)
- CBR for Anomaly Report Processing
- Intelligent Management of Email
- Intelligent Websites
- Knowledge Acquisition for Case-Retrieval Nets
- Propositional Semantic Indexing (PSI)
- Sentiment Analysis from Textual Data
- SmartCAT Case Authoring Tool