文章基本信息

标题：A Study of Content Extraction From Web Pages Based on Links
本地全文：下载
作者：R.Gunasundari ; S.Karthikeyan
期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2012
卷号：2
期号：3
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Extracting main content from web page is the preprocessing of web information system. The content extraction approach based on wrapper is limited to one specific information source, and greatly depends on web page structure. It is seldom employed in practice. A new content extraction method is thus proposed in this paper, which can discover web page content according to the number of punctuations and the ratio of non-hyperlink character number to character number that hyperlinks contain. It can eliminate noise and extract main content blocks from web page effectively. Experimental results show that this approach is accurate and suitable for most web sites.
关键词：content extraction; wrapper; HTML tree; web pagenoise