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Tales from the trenches of auto-categorisation: three case studies in the implementation of auto-categorisation systems

Helen, Karen and Silver presented three different implementations of auto-categorisation systems at the BBC. They demonstrated the advantages and issues with each of these approaches. Helen's presentation entitled "Teaching computers to read newspapersAka Automatic classification at FT.com in the early noughties" was about experience in a joint project by the FT, Lexis-Nexis and Dialog. The goal was to connect thousands of resources through a single interface. The tool used was Verity Intelligent Classifier (VIC) and the classification process used a taxonomy with a set of rules that could be finely tuned. Karen spoke about "Content Management Culture in the BBC" a metadata orientated project to produce BBC content that could be described in detail. The approach applied was a rule-based automatic classification system combined with the author's review and corrections. Silver talked about a "Statistical-based auto-categorisation" project designed to connect and cross-reference distributed BBC content and resources horizontally.

Presentation Type: 
Talk
Language: 
English
Presentation Audio: 
Audio Size: 
14MB
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