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Caverlee et al., 2005 - Google Patents

Qa-pagelet: Data preparation techniques for large-scale data analysis of the deep web

Caverlee et al., 2005

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Document ID
14021495858669582509
Author
Caverlee J
Liu L
Publication year
Publication venue
IEEE transactions on knowledge and data engineering

External Links

Snippet

This paper presents the QA-Pagelet as a fundamental data preparation technique for large- scale data analysis of the deep Web. To support QA-Pagelet extraction, we present the Thor framework for sampling, locating, and partioning the QA-Pagelets from the deep Web. Two …
Continue reading at faculty.cc.gatech.edu (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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