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Topic Maps and Automated Classification
The main obstacle to the use of Topic Maps is the cost of the intellectual effort required to construct and maintain the topic map, and automation is the obvious solution to this. Applications of automated classification to Topic Maps and the natural language processing techniques that can be used are described and evaluated. Advice on comparison and selection of tools is given, together with some real-life examples of the use of automated classification to create topic maps.