Volume 12 Number 3 (Mar. 2017)
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JSW 2017 Vol.12(3): 180-188 ISSN: 1796-217X
doi: 10.17706/jsw.12.3.180-188

The Automatic Extraction of Web Information Based on Regular Expression

Li Ji1,2, Jiang Guangyu1,2, Xu Aijun1,2*, Wang Yunzhen3
1School of Information Engineering, Zhejiang A&F University, Lin’an 311300,China.
2Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Zhejiang A&F University, Lin’an 311300,China.
3Jiande Xin'anjiang Woodland , Jiande 311600.

Abstract—Based on search engine , this paper built a Web information retrieval matching and structure extraction model. And realized the algorithm of locating and automatically extracting multi-web Baidu news information. Getting the standard mathematical expression of URLs by analyzing the search results URLs and analyzing the DOM tree structure of web pages, this article designed the key tags regular expression. Finally, the method of multi-page location retrieval and structured extraction based on search engine is realized. The experimental results showed that the average extraction result is 99.60%, and the matching ratio is 99.56%. It can be used for Web information structure and automatic extraction and local preservation.

Index Terms—Search engine; extraction model of web information; regular expression; web information.


Cite: Li Ji, Jiang Guangyu, Xu Aijun, Wang Yunzhen3, "The Automatic Extraction of Web Information Based on Regular Expression," Journal of Software vol. 12, no. 3, pp. 180-188, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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