Extracting complementary information from Wikipedia articles of different languages
by Akiyo Nadamoto; Yuya Fujiwara; Yu Suzuki; Yukio Konishi
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 8, No. 1, 2013

Abstract: In Wikipedia, users can create and edit information freely. Few editors take responsibility for editing the articles. Therefore, information of many Wikipedia articles is lacking. Furthermore, Wikipedia has different levels of value of its information depending on the language version of the site. In this paper, we propose the extraction of complementary information from different language Wikipedia and its automatic presentation. The important points of our method are: 1) extraction of comparison articles from different language Wikipedia; 2) extraction of complementary information; 3) presentation of complementary information.

Online publication date: Sat, 28-Jun-2014

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