DocumentCode
2550166
Title
Intelligent crawling based on rough set for web resource discovery
Author
Hu, LingXia
Author_Institution
Inf. Eng., Zhong Shan Torch Polytech. Coll., Zhong Shan, China
fYear
2010
fDate
16-18 April 2010
Firstpage
624
Lastpage
627
Abstract
The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed web resource from vast number of web pages. The progress of machine learning techniques shows a new direction of solving this problem. In this paper, intelligent crawling algorithm based on rough set is proposed. The algorithm use the hypertext features behavior in order to perform topic specific resource discovery. Our experiment in this regard has provided better Harvest rate and better Target recall for focused crawling.
Keywords
Internet; hypermedia; information retrieval; learning (artificial intelligence); rough set theory; Web resource discovery; hypertext features behavior; intelligent crawling algorithm; machine learning; rough set; Crawlers; Educational institutions; Information retrieval; Internet; Machine learning algorithms; Search engines; Software libraries; Taxonomy; Uniform resource locators; Web pages; Classification; Intelligent Crawling; Web Resource Discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477905
Filename
5477905
Link To Document