Using Classifiers to Find Domain-Specific Online Databases Automatically
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    Abstract:

    In hidden Web domain, general-purpose search engines (i.e., Google and Yahoo) have their shortcomings. They cover less than one-third of the data stored in document databases. Unlike the surface Web, if combined, they cover roughly the same data. Hidden Web is a highly important information source since the content provided by many hidden Web sites is often of very high quality. This paper proposes a three-step framework to automatically identify domain-specific hidden Web entries. With those obtained query interfaces, they can be integrated to obtain a unified interface which is given to users to query. Eight large-scale experiments demonstrate that the technique can find domain-specific hidden Web entries accurately and efficiently.

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王 辉,刘艳威,左万利.使用分类器自动发现特定领域的深度网入口.软件学报,2008,19(2):246-256

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  • Received:August 02,2007
  • Revised:November 06,2007
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