URL Rule Based Focused Crawlers
Vertical search engines use focused crawlers as their key component and develop some specific algorithms to select webpages relevant to some pre-defined set of topics. Therefore, how to effectively build up a semantic pattern for specific topics is extremely important to such search engines. In this paper we propose an UBFC (URL rule Based Focused Crawler) algorithm based on a doublecrawler framework (an experimental crawler and a focused crawler). The kernel of our UBFC is an URL regular expression learner, which is used to automatically learn and generalize the regular expressions of URLs of the sample webpages. The so generated URL regular expressions are used to direct the UBFC to work. Using UBFC, we developed a Nutch based focused crawler for hardwaretoday.com and get an excellent result. To evaluate the UBFC, we conduct some experiments to make an analysis through comparison with two proposed methods, the BFSC (Breadth First Search Crawler) and BLFC (BaseLine Focused Crawler).
Xiaolin Zheng Tao Zhou Zukun Yu Deren Chert
College of Computer Science, Zhejiang University, Hangzhou, 310027, China
国际会议
AiR08，EM2108，SOAIC08，SIOKM08，BIMA08，DKEEE08(2008IEEE国际电子商务工程学术会议)
西安
英文
147-154
2008-10-22（万方平台首次上网日期，不代表论文的发表时间）