Automatic organization of user-generated tags from the Web
Date Issued
2006
Date
2006
Author(s)
Yu, Tzu-hsien
DOI
en-US
Abstract
Information grows fast in volume on the Internet. By the power of the Web communities, clasffication of information is done by the public -- the "folksonomy". However, we still want to further utilize those collaborative generated tags in the folksonomy system. In this thesis, we survey two approaches to organizing and clustering the common tags of the search results from a collaborative tagging system "del.icio.us" which let users store and annotate their bookmarks.
We compare the automatically generated clustering results with those by humans who are familiar with the topics. We observe that the results of the two approaches we survey have close similarities with those by the people. And even people can not agree on the clustering. We then conduct a comprehension test to see if people really benefit from the results. We believe that the organized tags really help users in framing their concepts and navigation.
Subjects
標記
協同標記
通俗分類
del.icio.us
分群
tagging
collaborative tagging
folksonomy
Web
clustering
Type
other
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