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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We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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