Abstract

PurposeThe purpose of this article is to provide a critical review of Bergman's study on the deep web. In addition, this study brings a new concept into the discussion, the academic invisible web (AIW). The paper defines 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 scientific search engines. This paper provides an overview of approaches followed thus far.Design/methodology/approachProvides a discussion of measures and calculations, estimation based on informetric laws. Also gives a literature review on approaches for uncovering information from the invisible web.FindingsBergman's size estimate of the invisible web is highly questionable. This paper demonstrates some major errors in the conceptual design of the Bergman paper. A new (raw) size estimate is given.Research limitations/implicationsThe precision of this estimate is limited due to a small sample size and lack of reliable data.Practical implicationsThis study can show that no single library alone will be able to index the academic invisible web. The study suggests a collaboration to accomplish this task.Originality/valueProvides library managers and those interested in developing academic search engines with data on the size and attributes of the academic invisible web.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.