Browse Research and Tech Reports - Computer Science by Author "He, Bin"

  • He, Bin (2006-06)
    Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding pairwise attribute correspondences in ...

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  • Zhang, Zhen; He, Bin; Chang, Kevin Chen-Chuan (2004-11)
    The Web has been rapidly ``deepened" by myriad searchable databases online, where data are hidden behind query forms. Helping users query alternative ``deep Web" sources in the same domain (\eg, Books, Airfares) is an ...

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  • He, Bin; Chang, Kevin Chen-Chuan (2004-07)
    With the prevalence of databases on the Web, \emph{large scale} integration has become a pressing problem. As an essential task, \emph{holistic schema matching} (i.e., discovering attribute correspondences among many ...

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  • Zhang, Zhen; He, Bin; Chang, Kevin Chen-Chuan (2004-03)
    Recently, the Web has been rapidly ``deepened" with the prevalence of databases online and becomes an important frontier for data integration. On this deep Web, a significant amount of information can only be accessed as ...

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  • He, Bin; Li, Chengkai; Killian, David; Patel, Mitesh; Tseng, Yuping; Chang, Kevin Chen-Chuan (2006-07)
    The Web has been rapidly ``deepened" by massive databases online: Recent surveys show that while the surface Web has linked billions of static HTML pages, a far more significant amount of information is ``hidden" in the ...

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