Collaborative Web Browsing Based on Ontology Learning from Bookmarks.
J. Jung, Y. Yu, and G. Jo. International Conference on Computational Science, page 513-520. (2004)bibsource: DBLP, http://dblp.uni-trier.de.
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.
%0 Conference Paper
%1 jung2004collaborative
%A Jung, Jason J.
%A Yu, Young-Hoon
%A Jo, GeunSik
%B International Conference on Computational Science
%D 2004
%K closely_related studienarbeit ol_web2.0 widely_related
%P 513-520
%T Collaborative Web Browsing Based on Ontology Learning from Bookmarks.
%U springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3038&spage=513
%X 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.
@inproceedings{jung2004collaborative,
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.},
added-at = {2011-02-17T17:42:31.000+0100},
author = {Jung, Jason J. and Yu, Young-Hoon and Jo, GeunSik},
biburl = {https://www.bibsonomy.org/bibtex/2ff3838b29b4d15654173fc724dcd383a/dbenz},
booktitle = {International Conference on Computational Science},
file = {jung2004collaborative.pdf:jung2004collaborative.pdf:PDF},
groups = {public},
interhash = {e1b4ebe8a3ae831c9372c7ca4f042256},
intrahash = {ff3838b29b4d15654173fc724dcd383a},
keywords = {closely_related studienarbeit ol_web2.0 widely_related},
lastdatemodified = {2005-08-06},
lastname = {Jung},
note = {bibsource: DBLP, http://dblp.uni-trier.de},
own = {own},
pages = {513-520},
pdf = {jung04.pdf},
read = {read},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Collaborative Web Browsing Based on Ontology Learning from Bookmarks.},
url = {springerlink.metapress.com/openurl.asp?genre=article{\&}issn=0302-9743{\&}volume=3038{\&}spage=513},
username = {dbenz},
year = 2004
}