| 中心网页中主题网页链接的自动抽取 |
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| 引用本文： | 夏天.中心网页中主题网页链接的自动抽取[J].山东大学学报(理学版),2012,47(5):25-31. |
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| 作者姓名： | 夏天 |
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| 作者单位： | 数据工程与知识工程教育部重点实验室（中国人民大学）,北京100872／中国人民大学信息资源管理学院,北京100872 |
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| 基金项目： | 国家社会科学基金资助项目(09CTQ027) |
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| 摘 要： | 基于扩展标记树,提出了一种从中心网页中自动抽取主题网页链接的方法。首先构建链接有序表,利用链接前缀树发现主题网页链接拒绝规则,实现对网页链接类型的预判定;其次,通过分组分割和相似分组重新合并,把页面中的链接归入到不同分组之中,进而识别分组的类型和核心区域所在的分组,最终把链接归入三类链接集合之中。实验结果表明该方法无需训练即可实现中心网页中主题网页链接的高精度抽取。
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| 关 键 词： | 链接抽取 扩展标记树 链接前缀树 |
Automatic extracting topic page links from Hub page |
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| XIA Tian.Automatic extracting topic page links from Hub page[J].Journal of Shandong University,2012,47(5):25-31. |
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| Authors: | XIA Tian |
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| Institution: | XIA Tian1,2 (1.Key Laboratory of Data Engineering and Knowledge Engineering,MOE,Beijing 100872,China; 2.School of Information Resource Management,Renmin University of China,Beijing 100872,China) |
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| Abstract: | A topic link extraction method from Hub page based on extended label tree was proposed.Firs,a topic link sorted list was build and deny rules were learned by prefix tree,then,the link type was pre-determined.Second,by group splitting and re-merging,each candidate link was classified into different groups.The group type and the group which represented the hub page’s core region were identified,and finally all links were put into three different collections.Experimental results show that this method can achieve high-precision for topic link extraction without training. |
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| Keywords: | link extraction extended label tree link prefix tree |
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