Title :
A framework of deep Web crawler
Author :
Peisu, Xiang ; Ke, Tian ; Qinzhen, Huang
Author_Institution :
Coll. of Electr. Inf. Eng., Southwest Univ. for Nat., Chengdu
Abstract :
As an ever-increasing amount of information on the Web today is available through search interfaces, users have to key in a set of keywords in order to access the pages from certain Web sites, which are often referred to as the hidden Web or the deep Web. Since there is no static links to the hidden Web pages, search engines cannot discover and index such pages. However, according to recent studies, the content provided by many hidden Web sites is often of very high quality and can be extremely valuable to many users. How to build an effective hidden Web crawler that can autonomously discover and download pages from the hidden Web is studied. A framework of deep Web crawler is provided and we propose novel techniques to handle the actual mechanics of crawling the deep Web. Experiment shows that these policies are effective.
Keywords :
Web sites; search engines; Web page; Web site; content management; deep Web crawler framework; search engine; user interface; Buildings; Crawlers; Databases; Educational institutions; Electronic mail; Fuzzy sets; Search engines; Service oriented architecture; Web pages; Deep Web; Deep Web Crawler;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4604881