Mining Crawled Data and Visualizing Discovered Knowledge

Authors:
Vincent Dubois;Mohamed Quafafou;B. Habegger
Affiliations:
-;-;-
Venue:
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Year:
2001

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Abstract

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.