External Publications
6 publications | silver
Wolff, A., Mulholland, P. and Zdrahal, Z. (2012) Using machine-learning and visualisation to facilitate learner interpretation of source material, Interactive Learning Environments, taylor and francis
Wolff, A., Mulholland, P., Zdrahal, Z. and Blasko, M. (2010) Knowledge Modelling to Support Inquiry Learning Tasks, International COnference on Knowledge Science, Engineering & Management, Belfast, U.K.
Pavel, G. (2010) Progress towards intelligent support for human articulation of concepts from examples,, Int. J. Knowledge and Learning, Vol. 6, No. 1, pp. 82-97, Inderscience Publishers Ltd.
Wolff, A., Mulholland, P. and Zdrahal, Z. (2010) Visual summaries of data: a spatial hypertext approach to user feedback, Poster at Hypertext 2010, Toronto, Canada
Pavel, G. (2010) Machine Learning Support for Human Articulation of Concepts from Examples - A Learning Framework, TECH-EDUCATION 2010, Athens, Greece , Technology Enhanced Learning: Quality of Teaching and Educational Reform, eds. Lytras, M. et al., CCIS 73, pp. 80-84, Springer-Verlag Berlin Heidelberg
Pavel, G. (2009) How do some concepts vanish over time?, Poster at BENELEARN 2009, Tilburg, The Netherlands, pp. 97-98
Future Internet
KnowledgeManagementMultimedia &
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HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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