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2007
Springer

Wikipedia Mining for an Association Web Thesaurus Construction

10 years 3 months ago
Wikipedia Mining for an Association Web Thesaurus Construction
Wikipedia has become a huge phenomenon on the WWW. As a corpus for knowledge extraction, it has various impressive characteristics such as a huge amount of articles, live updates, a dense link structure, brief link texts and URL identification for concepts. In this paper, we propose an efficient link mining method pfibf (Path Frequency - Inversed Backward link Frequency) and the extension method “forward / backward link weighting (FB weighting)” in order to construct a huge scale association thesaurus. We proved the effectiveness of our proposed methods compared with other conventional methods such as cooccurrence analysis and TF-IDF.
Kotaro Nakayama, Takahiro Hara, Shojiro Nishio
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where WISE
Authors Kotaro Nakayama, Takahiro Hara, Shojiro Nishio
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