Proceedings of the 27th International Conference on Very Large Data Bases
Downloading textual hidden web content through keyword queries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Communications of the ACM - ACM at sixty: a look back in time
DeepBot: a focused crawler for accessing hidden web content
Proceedings of the 3rd international workshop on Data enginering issues in E-commerce and services: In conjunction with ACM Conference on Electronic Commerce (EC '07)
ICIW '08 Proceedings of the 2008 Third International Conference on Internet and Web Applications and Services
Proceedings of the VLDB Endowment
Domain-Specific Deep Web Sources Discovery
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 05
An Approach to Deep Web Crawling by Sampling
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Study of Deep Web Query Interface Determining Technology
CESCE '10 Proceedings of the 2010 International Conference on Challenges in Environmental Science and Computer Engineering - Volume 01
Efficient deep web crawling using reinforcement learning
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Deep Web Information Retrieval Process: A Technical Survey
International Journal of Information Technology and Web Engineering
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A traditional crawler picks up a URL, retrieves the corresponding page and extracts various links, adding them to the queue. A deep Web crawler, after adding links to the queue, checks for forms. If forms are present, it processes them and retrieves the required information. Various techniques have been proposed for crawling deep Web information, but much remains undiscovered. In this paper, the authors analyze and compare important deep Web information crawling techniques to find their relative limitations and advantages. To minimize limitations of existing deep Web crawlers, a novel architecture is proposed based on QIIIEP specifications Sharma & Sharma, 2009. The proposed architecture is cost effective and has features of privatized search and general search for deep Web data hidden behind html forms.