The deep web : Surfacing hidden value

By Michael Bergman. 2001

1,104 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0a59b63213f26b4e695ee01065163ba1769cf861

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Crawling the Hidden Web (2001, result): “We also present results from experiments conducted to test and validate our techniques.”
Alternative and Activist New Media (2011, unknown): “Digital library projects have been underway since the earliest days of networked computing, but they have proliferated since Challenging the Experts 189 the introduction of browsers and the Web in the early 1990s (Borgman, 2007).”
Fully automatic wrapper generation for search engines (2005, background): “Studies Dept. of Computer Science SUNY at Binghamton Univ. of Louisiana at Lafayette University of Illinois at Chicago Binghamton, NY 13902, USA Lafayette, LA 70504, USA Chicago, IL 60607, USA {hkzhao,meng}@cs.binghamton.edu {zwu, vijay}@cacs.louisiana.edu yu@cs.uic.edu ABSTRACT When a query is…”
Web-Scale Data Integration: You can afford to Pay as You Go (2007, methodology): “The deep web represents a major gap in the coverage of search engines: the deep web is believed to be possibly larger than the current WWW, and typically has very high-quality content [3].”
Statistical schema matching across web query interfaces (2003, background): “…many Web directories such as invisibleweb.com already list impressive numbers of online sources by manual compilation, there are certainly much more sources out there: By us-ing overlap analysis, a July 2000 survey [2] estimated 96,000 \search cites" and 550 billion hidden pages in the deep Web.”
An interactive clustering-based approach to integrating source query interfaces on the deep Web (2004, background): “It has been observed that a large number of data sources on the Web are actually hidden behind query interfaces [3, 15].”
Learners and learning in the twenty‐first century: what do we know about students’ attitudes towards and experiences of information and communication technologies that will help us design courses? (2005, background): “It has been estimated (Bergman, 2001) that most common search engines access less than 20% of the ‘Surface Web’ and that information in specialist databases and archives forms a ‘Deep Web’ that is 400 to 550 times larger than the ‘Surface Web’.”
Google's Deep Web crawl (2008, background): “Various accounts have hypothesized that the Deep Web has an order of magnitude more data than the currently search-able World Wide Web [2, 9, 12].”