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» WebIQ: Learning from the Web to Match Deep-Web Query Interfa...
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ICDE
2006
IEEE
166views Database» more  ICDE 2006»
14 years 5 months ago
WebIQ: Learning from the Web to Match Deep-Web Query Interfaces
Integrating Deep Web sources requires highly accurate semantic matches between the attributes of the source query interfaces. These matches are usually established by comparing th...
Wensheng Wu, AnHai Doan, Clement T. Yu
SIGMOD
2004
ACM
124views Database» more  SIGMOD 2004»
13 years 10 months ago
An Interactive Clustering-based Approach to Integrating Source Query interfaces on the Deep Web
An increasing number of data sources now become available on the Web, but often their contents are only accessible through query interfaces. For a domain of interest, there often ...
Wensheng Wu, Clement T. Yu, AnHai Doan, Weiyi Meng
WEBI
2009
Springer
13 years 11 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
CIKM
2009
Springer
13 years 9 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An