A Minimum Effort Distributed Library for KMi
This event took place on Thursday 19 May 2005 at 13:30
Tom Heath KMi, The Open University
John's original challenge was this: "So Tom if you manage to setup a running system (technology + people) which captures over 50% of what is on the shelves in KMi and maintains this for at least 3 months I'll buy you a bottle of champagne (or equivalent other alcohol)". We've made some progress and would like to share it; we hope you'll bring your lunch, come and see the demo, and help decide whether we deserve the bottle of champagne.
Background
Back in February I was looking for a book which wasn't in the OU Library but I was sure someone in KMi would have a copy; sure enough Dileep did, but I had to ask everyone explicitly before I found this out. This kick-started a discussion about whether some form of library for KMi was desirable or feasible, and what form this might take. Spurred on by academic curiousity and John's offer of alcohol, Mark and I have made some progress towards this. The work has been driven by the principle of maximum benefit for minimum effort, so we've emphasised a distributed approach and reuse of existing resources wherever possible. We'll be demo'ing what we've done tomorrow at 1:30pm in the Podium, and talking a little bit about how the work ties in with our individual PhD work in community networks and in social knowledge discovery online.
This event took place on Thursday 19 May 2005 at 13:30
John's original challenge was this: "So Tom if you manage to setup a running system (technology + people) which captures over 50% of what is on the shelves in KMi and maintains this for at least 3 months I'll buy you a bottle of champagne (or equivalent other alcohol)". We've made some progress and would like to share it; we hope you'll bring your lunch, come and see the demo, and help decide whether we deserve the bottle of champagne.
Background
Back in February I was looking for a book which wasn't in the OU Library but I was sure someone in KMi would have a copy; sure enough Dileep did, but I had to ask everyone explicitly before I found this out. This kick-started a discussion about whether some form of library for KMi was desirable or feasible, and what form this might take. Spurred on by academic curiousity and John's offer of alcohol, Mark and I have made some progress towards this. The work has been driven by the principle of maximum benefit for minimum effort, so we've emphasised a distributed approach and reuse of existing resources wherever possible. We'll be demo'ing what we've done tomorrow at 1:30pm in the Podium, and talking a little bit about how the work ties in with our individual PhD work in community networks and in social knowledge discovery online.
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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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