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
ICIW '08 Proceedings of the 2008 Third International Conference on Internet and Web Applications and Services
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
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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For context based surfing of World Wide Web in a systematic and automatic manner, a web crawler is required. The World Wide Web consists interlinked documents and resources that are easily crawled by general web crawler, known as surface web crawler. But for crawling the hidden web data, in which the data is hidden behind the html forms requires special type of crawler, known as hidden web crawler. For efficient crawling of hidden web data, the discovery of relevant and proper html forms is very important step. For this purpose a technique for domain specific hidden web crawler is proposed in this paper. The proposed technique is based on the domain specific crawling of World Wide Web. In this approach, a link is followed in a step by step manner, which results in a large source of hidden web databases. Experiential results verify that the proposed approach is quite effective in crawling the hidden web data contents.