An interactive clustering-based approach to integrating source query interfaces on the deep Web
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Combining classifiers to identify online databases
Proceedings of the 16th international conference on World Wide Web
An adaptive crawler for locating hidden-Web entry points
Proceedings of the 16th international conference on World Wide Web
Learning to extract form labels
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
Automatic discovery of Web Query Interfaces using machine learning techniques
Journal of Intelligent Information Systems
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We present DeepPeep (http://www.deeppeep.org), a new system for discovering, organizing and analyzing Web forms. DeepPeep allows users to explore the entry points to hidden-Web sites whose contents are out of reach for traditional search engines. Besides demonstrating important features of DeepPeep and describing the infrastructure we used to build the system, we will show how this infrastructure can be used to create form collections and form search engines for different domains. We also present the analysis component of DeepPeep which allows users to explore and visualize information in form repositories, helping them not only to better search and understand forms in different domains, but also to refine the form gathering process.