Analysis of Implicit Relations on Wikipedia: Measuring Strength through Mining Elucidatory Objects

被引:0
|
作者
Zhang, Xinpeng [1 ]
Asano, Yasuhito [1 ]
Yoshikawa, Masatoshi [1 ]
机构
[1] Kyoto Univ, Kyoto 6068501, Japan
关键词
link analysis; generalized flow; Wikipedia mining; relation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We focus on measuring relations between pairs of objects in Wikipedia whose pages can be regarded as individual objects. Two kinds of relations between two objects exist: in Wikipedia, an explicit relation is represented by a single link between the two pages for the objects. and an implicit relation is represented by a link structure containing the two pages. Previously proposed methods are inadequate for measuring implicit relations because they use only one or two of the following three important factors: distance, connectivity, and co-citation. We propose a new method reflecting all the three factors by using a generalized maximum flow. We confirm that our method can measure the strength of a relation more appropriately than these previously proposed methods do. Another remarkable aspect of our method is mining elucidatory objects, that is, objects constituting a relation. We explain that mining elucidatory objects opens a novel way to deeply understand a relation.
引用
收藏
页码:460 / 475
页数:16
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