Difference between revisions of "Study of Semantic Relations in Wikipedia based on the Random Walk Model"
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| + | | title = Study of Semantic Relations in Wikipedia based on the Random Walk Model | ||
| + | | date = 2014 | ||
| + | | authors = [[Li Zhi-pin]] | ||
| + | | link = http://en.cnki.com.cn/Article_en/CJFDTOTAL-DNBC201404002.htm | ||
| + | }} | ||
'''Study of Semantic Relations in Wikipedia based on the Random Walk Model''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Li Zhi-pin]]. | '''Study of Semantic Relations in Wikipedia based on the Random Walk Model''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Li Zhi-pin]]. | ||
== Overview == | == Overview == | ||
In this paper, the random walk model is proposed based on the [[Wikipedia]] semantic [[relatedness]] calculation. Wikipedia contains a wealth of link structure, these link structures can react correlation between the conceps to some extent, this paper calculates the semantic correlation of Wikipedia against text links and exterlinks, WS-353 data setsis used to test, and gained a better accuracy. | In this paper, the random walk model is proposed based on the [[Wikipedia]] semantic [[relatedness]] calculation. Wikipedia contains a wealth of link structure, these link structures can react correlation between the conceps to some extent, this paper calculates the semantic correlation of Wikipedia against text links and exterlinks, WS-353 data setsis used to test, and gained a better accuracy. | ||
Revision as of 00:59, 6 January 2021
Authors | Li Zhi-pin |
|---|---|
Publication date | 2014 |
Links | Original |
Study of Semantic Relations in Wikipedia based on the Random Walk Model - scientific work related to Wikipedia quality published in 2014, written by Li Zhi-pin.
Overview
In this paper, the random walk model is proposed based on the Wikipedia semantic relatedness calculation. Wikipedia contains a wealth of link structure, these link structures can react correlation between the conceps to some extent, this paper calculates the semantic correlation of Wikipedia against text links and exterlinks, WS-353 data setsis used to test, and gained a better accuracy.
