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Topic Map Generation Using Text Mining

Paper, was published by Gerhard Heyer, Karsten Böhm, Uwe Quasthoff, and Christian Wolff at 2002-06-28

This paper describes an infrastructure for text mining which uses collocation analysis.

External Link: download paper

Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages. Some examples taken form large reference databases motivate the applicability to knowledge management using declarative standards of information structuring and description. The ISO/IEC Topic Map standard is introduced as a candidate for rich metadata description of information resources and it is shown how text mining can be used for automatic topic map generation.

 

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I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.

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