Knowledge and Data Engineering Group (KDEG)
The Knowledge and Data Engineering Group (KDEG) is pioneering research into the fundamental challenges and application of knowledge driven systems. The group combines innovative technology research in knowledge discovery, representation, reasoning, data management, data ethics, data protection and intelligent systems engineering. The group applies this research to enable next generation systems and applications services in areas such as Health, Education, Digital Humanities, and Digital Media. Several members are involved in the SCSS hosted ADAPT SFI Research Centre and also in the SFI PhD Training Programmes of D-REAL, AI, and ADVANCE, as well as several industry projects through SFI Spokes and direct collaboration.
The KDEG group is within the Artificial Intelligence Discipline of the School of Computer Science and Statistics.
- Inmaculada Arnedillo-Sanchez
- Owen Conlan
- Yvette Graham
- Lucy Hederman
- Dave Lewis
- Declan O'Sullivan
- Gaye Stephens
- Vincent Wade
- Lucy Hederman, O'Reilly Institute, School of Computer Science and Statistics, Trinity College, University of Dublin, Dublin 2, Ireland (phone +353 (1) 896 1765).
[Artificial Intelligence Discipline] [School of Computer Science and Statistics] [Trinity College Dublin]
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