Extracting Patterns and Relations from the World Wide Web
Extracting Patterns and Relations from the World Wide Web
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DOI：
10.1007/10704656_11
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发表时间：
1998-03
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影响因子：
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通讯作者：
Sergey Brin
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文献类型：
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作者：
Sergey Brin
万维网是一个巨大的信息资源。与此同时，它是非常分散的。特定类型的数据（例如餐厅列表）可能以许多不同的格式分散在数千个独立的信息源中。在本文中，我们考虑的问题，这样的数据类型自动从所有这些来源提取的关系。我们提出了一种技术，利用模式和关系集之间的二元性，从一个小样本开始增长的目标关系。为了测试我们的技术，我们使用它来提取一个关系（作者，标题）对从万维网。
The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists may be scattered across thousands of independent information sources in many different formats. In this paper, we consider the problem of extracting a relation for such a data type from all of these sources automatically. We present a technique which exploits the duality between sets of patterns and relations to grow the target relation starting from a small sample. To test our technique we use it to extract a relation of (author,title) pairs from the World Wide Web.