Extracting Templates from Web pages

被引：0
|
作者：
Manjula, R. [1 ]
Chilambuchelvan, A. [2 ]
机构：
[1] RMK Engn Coll Chennai, Dept CSE, Madras, Tamil Nadu, India
[2] RMK Engn Coll, Dept CSE, Madras, Tamil Nadu, India
来源：
2013 INTERNATIONAL CONFERENCE ON GREEN COMPUTING, COMMUNICATION AND CONSERVATION OF ENERGY (ICGCE) | 2013年
关键词：
Document Object Model; Minimum Description Length; Template Extraction; VIPS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In today's world, World Wide Web is the most popular information providers. A website is a collection of web pages and Web pages usually include information for the users. The web sites are designed with common templates and content. The template is used to access the content easily by consistent structures even the templates are not explicitly announced. The current Template extraction techniques are degrading the performance of web applications such as search engine due to irrelevant terms in templates. Hence, we present a new method for detecting and extracting templates from web pages automatically by identifying the relevant information.
引用
收藏
页码：788 / 791
页数：4
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