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Main content extraction from web pages based on node characteristics

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成果类型:
期刊论文
作者:
Qingtang Liu;Mingbo Shao;Linjing Wu;Gang Zhao;Guilin Fan;...
通讯作者:
Liu, Qingtang(liuqtang@mail.ccnu.edu.cn)
作者机构:
[Qingtang Liu; Mingbo Shao; Linjing Wu; Gang Zhao; Guilin Fan] School of Educational Information Technology, Central China Normal University, Wuhan, China
[Jun Li] School of Information Engineering, Hubei University for Nationalities, Enshi, China
通讯机构:
School of Educational Information Technology, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Extraction;Hypertext systems;Information retrieval systems;Search engines;Content extraction;Continuous distribution;Estimation algorithm;Hyperlinks;Mobile Internet;Neighboring nodes;News websites;Web content aggregations;Websites
期刊:
Journal of Computing Science and Engineering
ISSN:
1976-4677
年:
2017
卷:
11
期:
2
页码:
39-48
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
摘要:
Main content extraction of web pages is widely used in search engines, web content aggregation and mobile Internet browsing. However, a mass of irrelevant information such as advertisement, irrelevant navigation and trash information is included in web pages. Such irrelevant information reduces the efficiency of web content processing in content-based applications. The purpose of this paper is to propose an automatic main content extraction method of web pages. In this method, we use two indicators to describe characteristics of web pages: Text...

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