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Conference object . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Information Work in the Internet Age: Localizing, Evaluating and Representing Resources

Authors: Mandl, Thomas;

Information Work in the Internet Age: Localizing, Evaluating and Representing Resources

Abstract

The amount of data on the internet continues to grow. At the same time, fund-ing for professional information work for collection building, quality assess-ment and content representation is reduced. The Layer Model responds to these challenges associated with the internet. The Layer Model shows how information providers can restrict the information work dedicated to content representation to small collections and, at the same time, allows users to ac-cess much larger collections. Transfer modules apply intellectual information work to documents outside a core. This article shows how the Layer Model can be extended in order to integrate automatic quality assessment and auto-mated collection building.

25 references, page 1 of 3

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Brajnik, G. (2001). “Towards valid quality models for websites.” In: Proceedings of the 7th Conference on Human Factors & the Web (HFWEB). http://www.dimi.uniud.it/~giorgio/ papers/hfweb01.html [Zugriff September 2004].

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Dhyani, D.; Ng, W.; Bhowmick, S. (2002). “A Survey of Web Metrics.” In: ACM Coumputing Surveys 34 (4), 469-503.

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Doan, A.; Madhavan, J.; Domingos, P.; Halevy, A. (2002). “Learning to Map between Ontologies on the Semantic Web.” In: Proceedings of the World Wide Web Foltz, P.W.; Laham, D.; Landauer, T. (1999). “The Intelligent Essay Assessor: Applications to Educational Technology.” In: Interactive Multimedia Electronic Journal of Computer-Enhanced Learning. http://imej.wfu.edu/articles/1999/2/04/printver.asp [Zugriff September 2004].

Gibson, D.; Kleinberg, J.; Raghavan, P. (1998). “Inferring Web Communities from Link Topology.” In: Proceedings 9th ACM Conference on Hypertext and Hypermedia. http://citeseer.nj.nec.com/gibson98inferring.html [Zugriff September 2004].

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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