An Ontology-based Analysis of Wikipedia Usage Data for Measuring degree-of-interest in Country (국가별 관심도 측정을 위한 온톨로지 기반 위키피디아 사용 데이터 분석)

Hyon Hee Kim (김현희); Cho Jin Nam (조진남); Kim，Dong-Geon (김동건)

An Ontology-based Analysis of Wikipedia Usage Data for Measuring degree-of-interest in Country

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2014, 19(4), pp.43-53
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Hyon Hee Kim ¹, Cho Jin Nam ¹, Kim，Dong-Geon ¹

¹동덕여자대학교

Accredited

ABSTRACT

In this paper, we propose an ontology-based approach to measuring degree-of-interest incountry by analyzing wikipedia usage data. First, we developed the degree-of-interest ontologycalled DOI ontology by extracting concept hierarchies from wikipedia categories. Second, we mapthe title of frequently edited articles into DOI ontology, and we measure degree-of-interest basedon DOI ontology by analyzing wikipedia page views. Finally, we perform chi-square test ofindependence to figure out if interesting fields are independent or not by country. This approachshows interesting fields are closely related to each country, and provides degree of interests by country timely and flexibly as compared with conventional questionnaire survey analysis.

KEYWORDS

Analysis of Wikipedia Usage Data, Ontology-based Analysis, Degree-of-Interest Ontology, Measuring degree-of-interest by fields

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65