Experiments in Web Page Classification for Semantic Web.
Asad Satti, Nick J. Cercone, Vlado Kešelj · 2004
We address the problem of web page classification within the framework of automatic annotation for Semantic Web. The performance of several classification algorithms is ex-plored on the Four Universities dataset using page text and link information, with a limited-size feature set. Sev-eral well-known classification algorithms are evaluated on the task of web-page classification using the text of web pages. When compared to the methods that use link in-formation, the text-based method shows surprisingly good performance, even with a feature set of limited size. 1