Information Retrieval across Information Visualization

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dc.contributor.author Bala, Piotr
dc.contributor.author Osińska, Veslava
dc.contributor.author Gawarkiewicz, Michał
dc.date.accessioned 2013-03-28T07:35:23Z
dc.date.available 2013-03-28T07:35:23Z
dc.date.issued 2012-09
dc.identifier.citation Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 233–239
dc.identifier.isbn 978-83-60810-51-4
dc.identifier.uri http://repozytorium.umk.pl/handle/item/464
dc.description.abstract This article presents the analytical and retrieval potential of visualization maps. Obtained maps were tested as information retrieval (IR) interface. The collection of documents derived from the ACM Digital Library was mapped on the sphere surface. Proposed approach uses nonlinear similarity of documents by comparing ascribed thematic categories and thereby development of semantic connections between them. For domain analysis the newest IT trend - Cloud Computing was monitored across time period 2007-2009. Visualization reflects evolution, dynamics and relational fields of cloud technology as well as its paradigmatic property.
dc.language.iso eng
dc.publisher IEEE Computer Society Press
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 information retrieval
dc.subject knowledge domain analysis
dc.title Information Retrieval across Information Visualization
dc.type info:eu-repo/semantics/article

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