Information Retrieval across Information Visualization

dc.contributor.authorBala, Piotr
dc.contributor.authorOsińska, Veslava
dc.contributor.authorGawarkiewicz, Michał
dc.date.accessioned2013-03-28T07:35:23Z
dc.date.available2013-03-28T07:35:23Z
dc.date.issued2012-09
dc.description.abstractThis 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.pl
dc.identifier.citationProceedings of the Federated Conference on Computer Science and Information Systems, pp. 233–239pl
dc.identifier.isbn978-83-60810-51-4
dc.identifier.urihttp://repozytorium.umk.pl/handle/item/464
dc.language.isoengpl
dc.publisherIEEE Computer Society Presspl
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Poland*
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.subjectinformation visualizationpl
dc.subjectinformation retrievalpl
dc.subjectknowledge domain analysispl
dc.titleInformation Retrieval across Information Visualizationpl
dc.typeinfo:eu-repo/semantics/articlepl

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