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About KMi

Studentship Vacancies

The Knowledge Media Institute (KMi) is home to internationally recognised researchers in semantic technologies, educational multimedia, collaboration technologies, artificial intelligence, cognitive science, and human-computer interaction. KMi offers students an intellectually challenging environment with exceptional research and computer facilities.

We are currently seeking applications for full-time, 3-year research studentships on the following PhD projects. We strongly recommend that you contact the lead researcher directly to discuss your interest prior to writing your proposal.

Human-Agent Collaboration for Distributed Sensemaking and Action
(1700 GMT Monday 18th August 2008)

Learning from structured collections of digital resources
(open until filled)

Information Retrieval Models and Multimedia Analysis
(open until filled)
 
The Open University Website | OneSpace 2008 | First International Workshop on Blending Physical and Digital Spaces on the Internet | 28 September 2008
 

Semantic Web and Knowledge Services is...


"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 research 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 text mining and natural language processing technologies can be harnessed to support smart annotation of web resources and new forms of web navigation, which go beyond following simple hypertextual links. We are 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.

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.