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
Semantic Web Mining Workshop, 2002.
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.
Last modified: Thu Sep 26 12:00:27 EEST 2002