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Topic Maps and Automated Classification
Presentation, was published by Lars Marius Garshol at 2007-03-20
External Link: download slides
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.
Authors
Lars Marius Garshol
No contact information available.
Lars Marius is project leader of TM Photo, Topic Maps Tools, and duke - fast deduplication.. .
Presented at
Topic Maps 2007
Conference from {{start}} to {{end}}
The First International Topic Maps Users Conference took place at the Oslo Conference Centre in Norway on March 20-21 2007. Attendees experienced …
Visit homepage of Topic Maps 2007
Nowadays Topic Maps appears to be very suitable for being applied in Libraries, Archives and Museums. It provides a suitable model and mechanisms for depth indexing, classification and the implementation of FRBR, CIDOC-CRM or other conceptualizations.