Collaborative web browsing based on ontology learning from bookmarks
- Authors
- Jung, Jason J.; Yu, YH; Jo, 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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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