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Knowledge Media Institute | SILVER Logo

SILVER

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Narrative Hypermedia  
Semantic Interactive Learning Visualisation Environment Research

The aim of the SILVER project is to develop educational software based on knowledge visualisation technology that will allow learners and educators to collect, organise, experiment and interact with multimedia assets. With the software, learners and teachers will be able to select multimedia assets related to a theme, visualise conceptual relationships associated with those assets and assemble them in different ways reflecting alternative perspectives.

The SILVER project is supported by the Technology Strategy Board and is a collaboration with the Bridgeman Art Library and Lexara. Bridgeman Art Library is the world's leading source of fine art, history and culture with some 260,000 images available on-line, plus 750,000 historical photographs, from 8000 locations. LEXARA is a company that develops technology-enabled products to support organisations in the publishing, education, corporate and cultural heritage sectors. SILVER is developing applications aimed at supporting both school and work-based learning.

Participant(s): Paul Mulholland, Gabriela Pavel, Annika Wolff

Project Champion: Zdenek Zdrahal
Further Information Email | Zdenek Zdrahal


URL: http://www.silvereducation.org/


External Publications

Publications | Visit External Site for Details Publications | doi

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

Publications | Visit External Site for Details

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.

Publications | Visit External Site for Details

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

Publications | Visit External Site for Details

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

View all 6 publications
 
 
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KMi 2013 - A review of the year

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Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

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.