Wikipedia Mining for an Association Web Thesaurus Construction
Lecture notes in computer sciencePublished 6 November 2007
Kotaro Nakayama, Takahiro Hara, Shojiro Nishio
Citations101
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
An efficient link mining method pfibf (Path Frequency - Inversed Backward link Frequency) and the extension method "forward / backward link weighting (FB weighting)" are proposed in order to construct a huge scale association thesaurus of Wikipedia.
Abstract
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.
Keywords
Social SciencesComputer Science
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