The Analysis of Wikipedia categories for detecting unexpected knowledge

Abstract

Articles in Wikipedia are classified from a lot of standpoints by the category system of Wikipedia. Using this property, we can detect unexpected information from Wikipedia articles. For example, the article "Taro Aso" belongs not only to the category "Prime Ministers of Japan", but also to the category "Olympic shooters of Japan". In this study, we focus on such relations of categories, and processed the graph network of Wikipedia categories statistically. Finally, we detected unexpected information by using the results of statistical processing.