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Cited 2 time in webofscience Cited 2 time in scopus
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Collaborative web browsing based on ontology learning from bookmarks

Authors
Jung, Jason J.Yu, YHJo, GS
Issue Date
2004
Publisher
SPRINGER-VERLAG BERLIN
Citation
COMPUTATIONAL SCIENCE - ICCS 2004, PT 3, PROCEEDINGS, v.3038, pp 513 - 520
Pages
8
Journal Title
COMPUTATIONAL SCIENCE - ICCS 2004, PT 3, PROCEEDINGS
Volume
3038
Start Page
513
End Page
520
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37639
DOI
10.1007/978-3-540-24688-6_67
ISSN
0302-9743
1611-3349
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.
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Jung, Jason J.
소프트웨어대학 (소프트웨어학부)
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