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rswk_00%3a%22Literaturrecherche %2f bibliothek %2f internet %23sdnb%29%22 5
rswk_00%3a%22Literaturrecherche %2f bibliothek %2f internet %22sdnb%29%22 5

Lewandowski, D.: Nachweis deutschsprachiger bibliotheks- und informationswissenschaftlicher Aufsätze in Google Scholar (2007) 0.01
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Abstract

In dieser Untersuchung werden die Aufsätze der Jahre 2004 bis 2006 aus den acht wichtigsten deutschsprachigen Zeitschriften des Bibliotheks- und Informationswesens auf ihre Verfügbarkeit in Google Scholar hin untersucht. Dabei zeigt sich, dass Google Scholar keinen vollständigen Nachweis der Artikel bieten kann und sich daher nicht als Ersatz für bibliographische Datenbanken eignet. Google Scholar macht einen Teil der Volltexte direkt verfügbar und eignet sich insofern für einen schnellen und problemlosen Zugang zum Volltext, der traditionelle Wege wie die Bibliothek bzw. die Fernleihe umgeht. Für das Fach Bibliotheks- und Informationswissenschaft bietet Google Scholar insgesamt die Chance, seine Inhalte auch über die Fachgrenzen hinaus bekannt zu machen.
Lewandowski, D.; Mayr, P.: Exploring the academic invisible Web (2006) 0.00
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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.

Theme

Internet
Lewandowski, D.; Mayr, P.: Exploring the academic invisible Web (2006) 0.00
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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 scientific search engines. We provide an overview of approaches followed thus far. Design/methodology/approach: Discussion of measures and calculations, estimation 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 invisible web.

Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.00

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Date: 30. 9.2012 19:27:22

Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.00

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Date: 20. 1.2015 18:30:22

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