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Collaborative Web Browsing Based on Ontology Learning from Bookmarks.

, , und . International Conference on Computational Science, Seite 513-520. (2004)bibsource: DBLP, http://dblp.uni-trier.de.

Zusammenfassung

This paper proposes the collaborative web browsing system sharing knowledge with other users. We have specifically focused on user interests extracted from bookmarks. A simple URL based-bookmark is provided with structural information by the conceptualization of the ontology. Furthermore, ontology learning based on a hierarchical clustering method can be applied to handle dynamic changes in bookmarks. As a result of our experiments, with respect to recall, about 53.1% of the total time was saved during collaborative browsing for seeking the equivalent set of information, as compared with single web browsing.

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jung2004collaborative
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