Information Retrieval across Information Visualization

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