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.
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© 2001 Springher-Verlag Berlin Heidelberg
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Dubois, V., Quafafou, M., Habegger, B. (2001). Mining Crawled Data and Visualizing Discovered Knowledge. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_63
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DOI: https://doi.org/10.1007/3-540-45490-X_63
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