Difference between revisions of "Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia"

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{{Infobox work
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| title = Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia
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| date = 2014
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| authors = [[Tetsuya Toyota]]<br />[[Yuan Sun]]
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| doi = 10.1109/FIE.2014.7044344
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| link = http://ieeexplore.ieee.org/iel7/7017968/7043978/07044344.pdf
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}}
 
'''Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Tetsuya Toyota]] and [[Yuan Sun]].
 
'''Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Tetsuya Toyota]] and [[Yuan Sun]].
  
 
== Overview ==
 
== Overview ==
 
The purpose of this paper is to provide a solution of extracting appropriate keywords to identify meaningful learning-contents on the Web. There are some issues in identifying documents that have learning content. Firstly, the documents need to be identified according to the learning area of a student's school year. Secondly, the documents need to be identified according to the learning area that the student is now studying or studied. In this paper, authors present a method of extracting keywords for mining meaningful learning-contents using [[Wikipedia]]. At first, authors select the articles in Wikipedia with the arbitrary input keyword of learning items. Then, authors select other Wikipedia's articles related to the articles selected by the first process, using links and [[categories]] of Wikipedia. Furthermore, authors calculate degrees of association between the articles and the keywords using PF-IBF, and put the degree on each keyword. Finally, authors screen the keywords using his/her curriculum guideline to adjust the keywords to the learning area of the student's school year. In the next step, authors are planning to develop a method of screening keywords according to each student's ability, so that authors can select more appropriate keywords for each student.
 
The purpose of this paper is to provide a solution of extracting appropriate keywords to identify meaningful learning-contents on the Web. There are some issues in identifying documents that have learning content. Firstly, the documents need to be identified according to the learning area of a student's school year. Secondly, the documents need to be identified according to the learning area that the student is now studying or studied. In this paper, authors present a method of extracting keywords for mining meaningful learning-contents using [[Wikipedia]]. At first, authors select the articles in Wikipedia with the arbitrary input keyword of learning items. Then, authors select other Wikipedia's articles related to the articles selected by the first process, using links and [[categories]] of Wikipedia. Furthermore, authors calculate degrees of association between the articles and the keywords using PF-IBF, and put the degree on each keyword. Finally, authors screen the keywords using his/her curriculum guideline to adjust the keywords to the learning area of the student's school year. In the next step, authors are planning to develop a method of screening keywords according to each student's ability, so that authors can select more appropriate keywords for each student.

Revision as of 10:35, 20 February 2020


Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia
Authors
Tetsuya Toyota
Yuan Sun
Publication date
2014
DOI
10.1109/FIE.2014.7044344
Links
Original

Keyword Extraction for Mining Meaningful Learning-Contents on the Web Using Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Tetsuya Toyota and Yuan Sun.

Overview

The purpose of this paper is to provide a solution of extracting appropriate keywords to identify meaningful learning-contents on the Web. There are some issues in identifying documents that have learning content. Firstly, the documents need to be identified according to the learning area of a student's school year. Secondly, the documents need to be identified according to the learning area that the student is now studying or studied. In this paper, authors present a method of extracting keywords for mining meaningful learning-contents using Wikipedia. At first, authors select the articles in Wikipedia with the arbitrary input keyword of learning items. Then, authors select other Wikipedia's articles related to the articles selected by the first process, using links and categories of Wikipedia. Furthermore, authors calculate degrees of association between the articles and the keywords using PF-IBF, and put the degree on each keyword. Finally, authors screen the keywords using his/her curriculum guideline to adjust the keywords to the learning area of the student's school year. In the next step, authors are planning to develop a method of screening keywords according to each student's ability, so that authors can select more appropriate keywords for each student.