Multi-faceted Learning for Web Taxonomies

Wray Buntine and Henry Tirri

Helsinki Inst. of Information Technology
HIIT, P.O. Box 9800
FIN-02015 HUT, Finland

wray.buntine@hiit.fi

Semantic Web Mining Workshop, 2002. Postscript version. PDF version.

Abstract:

A standard problem for internet commerce is the task of building a product taxonomy from web pages, without access to corporate databases. However, a nasty aspect of the real world is that most web-pages have multiple facets. A web page might contain information about both cameras and computers, as well as having both specification and sale data. We are interested in methods for supervised and unsupervised learning of multiple faceted models. Here we present results for multi-faceted clustering of bigram words data.


Wray Buntine
Last modified: Thu Sep 26 12:00:27 EEST 2002