Difference between revisions of "Extracting Semantic Knowledge from Wikipedia Category Names"

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'''Extracting Semantic Knowledge from Wikipedia Category Names''' - scientific work related to Wikipedia quality published in 2013, written by Priya Radhakrishnan and Vasudeva Varma.
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'''Extracting Semantic Knowledge from Wikipedia Category Names''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Priya Radhakrishnan]] and [[Vasudeva Varma]].
  
 
== Overview ==
 
== Overview ==
Wikipedia being a large, freely available, frequently updated and community maintained knowledge base, has been central to much recent research. However, quite often authors find that the information extracted from it has extraneous content. This paper proposes a method to extract useful information from Wikipedia, using Semantic Features derived from Wikipedia categories. The proposed method provides good performance as a Wikipedia category based method. Experimental results on benchmark datasets show that the proposed method achieves a correlation coefficient of 0.66 with human judgments. The Semantic Features derived by this method gave good correlation with human rankings in a web search query completion application.
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Wikipedia being a large, freely available, frequently updated and community maintained knowledge base, has been central to much recent research. However, quite often authors find that the information extracted from it has extraneous content. This paper proposes a method to extract useful information from [[Wikipedia]], using Semantic Features derived from [[Wikipedia categories]]. The proposed method provides good performance as a Wikipedia category based method. Experimental results on benchmark datasets show that the proposed method achieves a correlation coefficient of 0.66 with human judgments. The Semantic Features derived by this method gave good correlation with human rankings in a web search query completion application.

Revision as of 12:19, 22 December 2020

Extracting Semantic Knowledge from Wikipedia Category Names - scientific work related to Wikipedia quality published in 2013, written by Priya Radhakrishnan and Vasudeva Varma.

Overview

Wikipedia being a large, freely available, frequently updated and community maintained knowledge base, has been central to much recent research. However, quite often authors find that the information extracted from it has extraneous content. This paper proposes a method to extract useful information from Wikipedia, using Semantic Features derived from Wikipedia categories. The proposed method provides good performance as a Wikipedia category based method. Experimental results on benchmark datasets show that the proposed method achieves a correlation coefficient of 0.66 with human judgments. The Semantic Features derived by this method gave good correlation with human rankings in a web search query completion application.