Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure.
Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure.
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用于构建维基百科本体和语义相似性度量的日语维基百科类别分析。
DOI：
10.1007/978-3-319-12844-3_40
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Masaharu Yoshioka
中科院分区：
文献类型：
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作者：
Miodrag J. Mihaljevic;Aleksandar Kavcic;Kanta Matsuura;Masaharu Yoshioka
维基百科是互联网上的免费百科全书，包含数百万条文章。维基百科本体（例如，YAGO 2和日本维基百科本体）已经被构建为利用本百科全书中的语义信息;在这些本体中，来自每篇文章的类别信息被用于构建概念层次结构。然而，维基百科类别最初是为了导航而设计的，以帮助用户找到合适的文章，它们并不等同于维基百科本体中的概念层次结构。在这项研究中，我们简要回顾了维基百科中的一个类别的定义，并详尽地调查了日语维基百科中的类别结构。我们还讨论了如何利用类别结构信息来构建本体和计算语义相似性度量。
Wikipedia is a free encyclopedia on the Internet that contains millions of articles. Wikipedia ontologies (e.g., YAGO2 and the Japanese Wikipedia ontology) have been constructed to utilize the semantic information in this encyclopedia; in these ontologies, the category information from each article is used to construct concept hierarchies. However, Wikipedia categories were originally designed for navigation, to help users find appropriate articles, and they are not equivalent to concept hierarchies in Wikipedia ontologies. In this study, we briefly review the definition of a category in Wikipedia and exhaustively investigate the category structure in the Japanese Wikipedia. We also discuss how category structure information can be utilized to construct an ontology and to calculate a semantic similarity measure.