UA-ZSA: web page clustering on the basis of name disambiguation

This paper presents an approach for web page clustering. The different underlying meanings of a name are discovered on the basis of the title of the web page, the body content, the common named entities across the documents and the sub-links. This information is feeded into a K-Means clustering algorithm which groups together the web pages that refer to the same individual.