Mining Crawled Data and Visualizing Discovered Knowledge

This paper presents a challenging project which aims to extend the current features of search and browsing engines. Different methods are integrated to meet the following requirements: (1) Integration of incremental and focused dynamic crawling with meta-search; (2) Free the user from sifting through the long list of documents returned by the search engines; (3) Extract comprehensive patterns and useful knowledge from the documents; (4) Visual-based support to browse dynamic document collections. Finally, a new paradigm is proposed combining the mining and the visualization methods used for search and exploration.