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Encyclopedia of Database Systems pp 1041–1045Cite as

Deep-Web Search

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Synonyms

Hidden-web search

Definition

With the proliferation of dynamic Web sites, whose contents are provided by online databases in response to querying, deep-Web search aims at finding information from this “hidden” or “deep” Web. Current search engines crawl and index pages from statically linked Web pages, or the “surface” Web. As such crawlers cannot effectively query online databases, much of the deep Web is not generally covered by current search engines, and thus remains invisible to users. A deep-Web search system queries over online databases to help users search these databases uniformly.

Historical Background

In the last few years, the Web has been rapidly “deepened” by the massive networked databases on the Internet. While the surface Web has linked billions of static HTML pages, a far more significant amount of information is hidden in the deep Web, behind the query forms of searchable databases. A July 2000 survey [1] claims that there were 500 billion hidden pages in...

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Recommended Reading

  1. BrightPlanet.com. The deep web: surfacing hidden value. http://www.brightplanet.com/resources/details/deepweb.html. 2000.

  2. He B, Chang KCC. Statistical schema matching across web query interfaces. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2003. p. 217–28.

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  3. He H, Meng W, Lu Y, Yu CT, Wu Z. Towards deeper understanding of the search interfaces of the deep web. In: Proceedings of the 16th International World Wide Web Conference; 2007. p. 133–55.

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  4. He B, Patel M, Zhang Z, Chang KCC. Accessing the deep web: a survey. Commun ACM. 2007;50(5):94–101.

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  5. Raghavan S, Garcia-Molina H. Crawling the hidden web. In: Proceedings of the 27th International Conference on Very Large Data Bases; 2001. p. 129–38.

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  6. Wang J, Wen JR, Lochovsky FH, Ma WY. Instance-based schema matching for web databases by domain-specific query probing. In: Proceedings of the 30th International Conference on Very Large Data Bases; 2004. p. 408–19.

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  7. Wu P, Wen JR, Liu H, Ma WY. Query selection techniques for efficient crawling of structured web sources. In: Proceedings of the 22nd International Conference on Data Engineering; 2006. p. 47.

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  8. Wu W, Yu CT, Doan A, Meng W. An interactive clustering-based approach to integrating source query interfaces on the deep web. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2004. p. 95–106.

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  9. Zhang Z, He B, Chang KCC. Understanding web query interfaces: best-effort parsing with hidden syntax. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2004.p. 117–18.

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  10. Zhang Z, He B, Chang KCC. Light-weight domain-based form assistant: querying web databases on the fly. In: Proceedings of the 31st International Conference on Very Large Data Bases; 2005. p. 97–108.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Kevin Chang

Authors
  1. Kevin Chang
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Corresponding author

Correspondence to Kevin Chang .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Google Research, New York, NY, USA

    Cong Yu

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Chang, K. (2018). Deep-Web Search. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_188

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