Abstract
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. © Springer-Verlag 2004.
Cite
CITATION STYLE
Jung, J. J., Yu, Y. H., & Jo, G. S. (2004). Collaborative web browsing based on ontology learning from bookmarks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3038, 513–520. https://doi.org/10.1007/978-3-540-24688-6_67
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