A Novel Approach for Content Extraction from Web Pages

被引：0
|
作者：
Bhardwaj, Aanshi [1 ]
Mangat, Veenu [1 ]
机构：
[1] Panjab Univ, UIET, Chandigarh 160014, India
来源：
2014 RECENT ADVANCES IN ENGINEERING AND COMPUTATIONAL SCIENCES (RAECS) | 2014年
关键词：
Content extraction; Entropy; Document object Model; hub and authority; ontology generation; template; Content Structure Tree; web page segmentation; Vision Based Page Segmentation; clustering; anchor text; IDENTIFICATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The rapid development of the internet and web publishing techniques create numerous information sources published as HTML pages on World Wide Web. However, there is lot of redundant and irrelevant information also on web pages. Navigation panels, Table of content (TOC), advertisements, copyright statements, service catalogs, privacy policies etc. on web pages are considered as relevant and irrelevant content. Such information makes various web mining tasks such as web page crawling, web page classification, link based ranking, topic distillation complex This paper discusses various approaches for extracting informative content from web pages and a new approach for content extraction from web pages using word to leaf ratio and density of links.
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收藏
页数：4
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