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Vincent Wade is a Associate Professor in the School of Computer Science and Statistics, Trinity College Dublin and Research Director for the Knowledge and Data Engineering Group (KDEG) in that department. He is also Reasearch Director of the Intelligent Systems Lab (which comprises KDEG as well as research groups dedicated to AI, Computational Linguistics, Graphics Vision & Visualisation, and the Centre for Health Informatics). He is also Deputy Director for the Centre for Next Generation Localisation (and Personalisation. Having graduated from University College Dublin with a BSc (Hons) in Computer Science in 1988, he completed postgraduate studies with an MSc and PhD in Computer Science in Trinity College Dublin. Vincent leads the Knowledge and Data Engineering Research Group which comprises eight academic staff and thirty five research staff (including research fellows, associates and postgraduates). The group focuses on knowledge and data management research and has established an international reputation in three related research areas, namely Telecommunications & Network Management, eLearning and e-Business services and Health Telematics. He was awarded Fellowship of Trinity College for his contribution to research. Vincent's individual research interest are in the dynamic adaptation, managememnt and personalisation of services and multimedia content to support context dependency, personalisation and collaboration. Vincent's research is being successfully applied in application areas such as Technology Enhanced Learning, Service & Network Management and Health Informatics. In 1998, Vincent founded and is currently Director of the Centre for Learning Technology. This Centre is responsible for strategic planning and operation of College’s eLearning strategy. It currently has over 10,000 online students enrolled and supports over 400 blended elearning courses. He is co-ordinator for the National Digital Learning Repository (NDLR), a national project comprising seven universities, fourteen Institute of Technology and HEAnet. The goal of the NDLR is to support sharing of eLearning expertise and resources between HEA funded Higher Education establishments and support a national online repository for digital learning and teaching resources.
Personalized Concept - based Search and Exploration on the Web of Data using Results Categorization
as author at 10th Extended Semantic Web Conference (ESWC), Montpellier 2013,