Difference between revisions of "An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country"
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| − | '''An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country''' - scientific work related to Wikipedia quality published in 2014, written by Hyon Hee Kim, Jinnam Jo and Donggeon Kim. | + | {{Infobox work |
| + | | title = An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country | ||
| + | | date = 2014 | ||
| + | | authors = [[Hyon Hee Kim]]<br />[[Jinnam Jo]]<br />[[Donggeon Kim]] | ||
| + | | doi = 10.9708/jksci.2014.19.4.043 | ||
| + | | link = http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=CPTSCQ_2014_v19n4_43 | ||
| + | }} | ||
| + | '''An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Hyon Hee Kim]], [[Jinnam Jo]] and [[Donggeon Kim]]. | ||
== Overview == | == Overview == | ||
| − | In this paper, authors propose an ontology-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, authors developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia categories. Second, authors map the title of frequently edited articles into DOI ontology, and authors measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, authors perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by ∙제1저자 : 김현희 ∙교신저자 : 김현희 ∙투고일 : 2014. 3. 7, 심사일 : 2014. 3. 20, 게재확정일 : 2014. 3. 27. * 동덕여자대학교 정보통계학과(Dept. of Information and Statistics, Dongduk Women’s University) 44 Journal of The Korea Society of Computer and Information April 2014 country timely and flexibly as compared with conventional questionnaire survey analysis. ▸ | + | In this paper, authors propose an [[ontology]]-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, authors developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia [[categories]]. Second, authors map the title of frequently edited articles into DOI ontology, and authors measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, authors perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by ∙제1저자 : 김현희 ∙교신저자 : 김현희 ∙투고일 : 2014. 3. 7, 심사일 : 2014. 3. 20, 게재확정일 : 2014. 3. 27. * 동덕여자대학교 정보통계학과(Dept. of Information and Statistics, Dongduk Women’s University) 44 Journal of The Korea Society of Computer and Information April 2014 country timely and flexibly as compared with conventional questionnaire survey analysis. ▸ |
| + | |||
| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Kim, Hyon Hee; Jo, Jinnam; Kim, Donggeon. (2014). "[[An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country]]". Korean Society of Computer Information. DOI: 10.9708/jksci.2014.19.4.043. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === English Wikipedia === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | {{cite journal |last1=Kim |first1=Hyon Hee |last2=Jo |first2=Jinnam |last3=Kim |first3=Donggeon |title=An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country |date=2014 |doi=10.9708/jksci.2014.19.4.043 |url=https://wikipediaquality.com/wiki/An_Ontology-Based_Analysis_of_Wikipedia_Usage_Data_for_Measuring_Degree-Of-Interest_in_Country |journal=Korean Society of Computer Information}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Kim, Hyon Hee; Jo, Jinnam; Kim, Donggeon. (2014). &quot;<a href="https://wikipediaquality.com/wiki/An_Ontology-Based_Analysis_of_Wikipedia_Usage_Data_for_Measuring_Degree-Of-Interest_in_Country">An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country</a>&quot;. Korean Society of Computer Information. DOI: 10.9708/jksci.2014.19.4.043. | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | |||
| + | |||
| + | [[Category:Scientific works]] | ||
Latest revision as of 00:35, 9 March 2021
Authors | Hyon Hee Kim Jinnam Jo Donggeon Kim |
|---|---|
Publication date | 2014 |
DOI | 10.9708/jksci.2014.19.4.043 |
Links | Original |
An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country - scientific work related to Wikipedia quality published in 2014, written by Hyon Hee Kim, Jinnam Jo and Donggeon Kim.
Overview
In this paper, authors propose an ontology-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, authors developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia categories. Second, authors map the title of frequently edited articles into DOI ontology, and authors measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, authors perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by ∙제1저자 : 김현희 ∙교신저자 : 김현희 ∙투고일 : 2014. 3. 7, 심사일 : 2014. 3. 20, 게재확정일 : 2014. 3. 27. * 동덕여자대학교 정보통계학과(Dept. of Information and Statistics, Dongduk Women’s University) 44 Journal of The Korea Society of Computer and Information April 2014 country timely and flexibly as compared with conventional questionnaire survey analysis. ▸
Embed
Wikipedia Quality
Kim, Hyon Hee; Jo, Jinnam; Kim, Donggeon. (2014). "[[An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country]]". Korean Society of Computer Information. DOI: 10.9708/jksci.2014.19.4.043.
English Wikipedia
{{cite journal |last1=Kim |first1=Hyon Hee |last2=Jo |first2=Jinnam |last3=Kim |first3=Donggeon |title=An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country |date=2014 |doi=10.9708/jksci.2014.19.4.043 |url=https://wikipediaquality.com/wiki/An_Ontology-Based_Analysis_of_Wikipedia_Usage_Data_for_Measuring_Degree-Of-Interest_in_Country |journal=Korean Society of Computer Information}}
HTML
Kim, Hyon Hee; Jo, Jinnam; Kim, Donggeon. (2014). "<a href="https://wikipediaquality.com/wiki/An_Ontology-Based_Analysis_of_Wikipedia_Usage_Data_for_Measuring_Degree-Of-Interest_in_Country">An Ontology-Based Analysis of Wikipedia Usage Data for Measuring Degree-Of-Interest in Country</a>". Korean Society of Computer Information. DOI: 10.9708/jksci.2014.19.4.043.
