Global Dynamics Network Construction from the Web

T. Perrin, H. Kawai, K. Kunieda, K. Yamada
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引用次数: 7

Abstract

In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co-occurrence networks from the Web. Those expressions could be statistical terms like birth rates, events such as hurricanes, riots or facts as urbanization. Our method is based on specificities of the language in order to create patterns. Those patterns will help us to extract terms. The vast amount of available information, the power of search API engine like Yahoo or Google combined with our patterns allow us to extract with high accuracy expressions described above and find links between them.
从Web构建全球动态网络
在本文中,我们将利用模式来查询搜索引擎,以便从Web中提取大量的表达式列表并构建它们的共现网络。这些表达可以是统计术语,如出生率、飓风等事件、骚乱或城市化等事实。我们的方法基于语言的特殊性来创建模式。这些模式将帮助我们提取术语。大量的可用信息,Yahoo或b谷歌等搜索API引擎的强大功能,结合我们的模式,使我们能够高精度地提取上述表达式并找到它们之间的链接。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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