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PVLDB
2010
219views more  PVLDB 2010»
13 years 9 months ago
Deep Web Integration with VisQI
In this paper, we present VisQI (VISual Query interface Integration system), a Deep Web integration system. VisQI is capable of (1) transforming Web query interfaces into hierarch...
Thomas Kabisch, Eduard Constantin Dragut, Clement ...
ADMA
2009
Springer
142views Data Mining» more  ADMA 2009»
14 years 5 months ago
Crawling Deep Web Using a New Set Covering Algorithm
Abstract. Crawling the deep web often requires the selection of an appropriate set of queries so that they can cover most of the documents in the data source with low cost. This ca...
Yan Wang, Jianguo Lu, Jessica Chen
WEBI
2009
Springer
14 years 5 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
15 years 7 days ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler
WWW
2011
ACM
13 years 5 months ago
Factal: integrating deep web based on trust and relevance
We demonstrate Factal—a system for integrating deep web sources. Factal is based on the recently introduced source selection method SourceRank; which is a measure of trust and r...
Raju Balakrishnan, Subbarao Kambhampati