Fractal Analysis of Knowledge Organization in Digital Library

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dc.contributor.author Osińska, Veslava
dc.date.accessioned 2013-04-02T07:14:16Z
dc.date.available 2013-04-02T07:14:16Z
dc.date.issued 2011
dc.identifier.citation New Trends in Qualitative and Quantitative Methods in Libraries, pp. 17-23
dc.identifier.isbn 981-435-03-03
dc.identifier.uri http://repozytorium.umk.pl/handle/item/467
dc.description.abstract Visualization of the large-scale collections of information became one of the essential purpose in data analysis. The new methods of visualization are increasingly applied as a significant component in scientific research. Particularly qualitative nature of Infoviz studies (Information visualization) can be combined with quantitative character of digital libraries volumes. This paper describes and demonstrates the case of hierarchical structure visualization i.e. visual representation of both classification adopted by ACM (Association for Computing Machinery ) digital library and classification universe. Given maps were processed by nonlinear graphical filters. Finally fractal dimension (FD) and derived techniques have used to analyze the patterns of clusters on the visualization maps. Quantification of output graphical representation by means of fractals makes possible to adjust visualization parameters as well as evaluate initial classification scheme and its dynamical characteristics.
dc.language.iso eng
dc.publisher World Scientific
dc.rights Attribution-NonCommercial-NoDerivs 3.0 Poland
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/pl/
dc.subject information visualization
dc.subject visualization maps
dc.subject fractal analysis
dc.subject information retrieval
dc.title Fractal Analysis of Knowledge Organization in Digital Library
dc.type info:eu-repo/semantics/article

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