Document (#28753)

Author

Lewandowski, D.
Mayr, P.

Title

Exploring the academic invisible Web

Issue

(Preprint].

Source

http://www.ib.hu-berlin.de/~mayr/arbeiten/lewandowski-mayr_LHT06.pdf

Year

2006

Abstract

Purpose: To provide a critical review of Bergman's 2001 study on the Deep Web. In addition, we bring a new concept into the discussion, the Academic Invisible Web (AIW). We define the Academic Invisible Web as consisting of all databases and collections relevant to academia but not searchable by the general-purpose internet search engines. Indexing this part of the Invisible Web is central to scien-tific search engines. We provide an overview of approaches followed thus far. Design/methodology/approach: Discussion of measures and calculations, estima-tion based on informetric laws. Literature review on approaches for uncovering information from the Invisible Web. Findings: Bergman's size estimate of the Invisible Web is highly questionable. We demonstrate some major errors in the conceptual design of the Bergman paper. A new (raw) size estimate is given. Research limitations/implications: The precision of our estimate is limited due to a small sample size and lack of reliable data. Practical implications: We can show that no single library alone will be able to index the Academic Invisible Web. We suggest collaboration to accomplish this task. Originality/value: Provides library managers and those interested in developing academic search engines with data on the size and attributes of the Academic In-visible Web.

Content

Bezug zu: Bergman, M.K.: The Deep Web: surfacing hidden value. In: Journal of Electronic Publishing. 7(2001) no.1, S.xxx-xxx. [Vgl. unter: http://www.press.umich.edu/jep/07-01/bergman.html].

Theme

Internet

Object

WWW

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3. Sherman, C.; Price, G.: ¬The invisible Web : uncovering sources search engines can't see (2004) 0.20

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4. Sundin, O.; Haider, J.; Andersson, C.; Carlsson, H.; Kjellberg, S.: ¬The search-ification of everyday life and the mundane-ification of search (2017) 0.16

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5. Du, C.; Cohoon, J.; Lopez, P.; Howison, J.: Softcite dataset : a dataset of software mentions in biomedical and economic research publications (2021) 0.13

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