Web search results clusterization with background knowledge

Clusterization of Web pages is an attractive way for presenting Web resources. Arranging pages into groups of similar topics simplifies and shorten the search process. This paper concerns the problem of clustering Web pages and presents our approach to this issue. Our solution is focused on finding similarities between documents delivered by different Web search engines. This process was accomplished by applying WordNet dictionary.