Document Cards : A Top Trumps Visualization for Documents

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STROBELT, Hendrik, Daniela OELKE, Christian ROHRDANTZ, Andreas STOFFEL, Daniel A. KEIM, Oliver DEUSSEN, 2009. Document Cards : A Top Trumps Visualization for Documents. In: IEEE Transactions on Visualization and Computer Graphics. 15(6), pp. 1145-1152. Available under: doi: 10.1109/TVCG.2009.139

@article{Strobelt2009Docum-6410, title={Document Cards : A Top Trumps Visualization for Documents}, year={2009}, doi={10.1109/TVCG.2009.139}, number={6}, volume={15}, journal={IEEE Transactions on Visualization and Computer Graphics}, pages={1145--1152}, author={Strobelt, Hendrik and Oelke, Daniela and Rohrdantz, Christian and Stoffel, Andreas and Keim, Daniel A. and Deussen, Oliver} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Strobelt, Hendrik</dc:creator> <dspace:hasBitstream rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Stoffel, Andreas</dc:creator> <dcterms:available rdf:datatype="">2011-03-24T16:12:31Z</dcterms:available> <dcterms:hasPart rdf:resource=""/> <dc:contributor>Oelke, Daniela</dc:contributor> <dcterms:abstract xml:lang="eng">Finding suitable, less space consuming views for a document s main content is crucial to provide convenient access to large document collections on display devices of different size. We present a novel compact visualization which represents the document s key semantic as a mixture of images and important key terms, similar to cards in a top trumps game. The key terms are extracted using an advanced text mining approach based on a fully automatic document structure extraction. The images and their captions are extracted using a graphical heuristic and the captions are used for a semi-semantic image weighting. Furthermore, we use the image color histogram for classification and show at least one representative from each non-empty image class. The approach is demonstrated for the IEEE InfoVis publications of a complete year. The method can easily be applied to other publication collections and sets of documents which contain images.</dcterms:abstract> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:rights rdf:resource=""/> <dc:rights>terms-of-use</dc:rights> <dc:contributor>Stoffel, Andreas</dc:contributor> <dcterms:isPartOf rdf:resource=""/> <dc:creator>Deussen, Oliver</dc:creator> <dcterms:issued>2009</dcterms:issued> <dc:date rdf:datatype="">2011-03-24T16:12:31Z</dc:date> <dc:language>eng</dc:language> <dcterms:title>Document Cards : A Top Trumps Visualization for Documents</dcterms:title> <dcterms:bibliographicCitation>First publ. in: IEEE Transactions on Visualization and Computer Graphics ; 15 (2009), 6. - pp. 1145-1152</dcterms:bibliographicCitation> <dc:contributor>Rohrdantz, Christian</dc:contributor> <dc:format>application/pdf</dc:format> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Deussen, Oliver</dc:contributor> <dc:creator>Rohrdantz, Christian</dc:creator> <dc:creator>Oelke, Daniela</dc:creator> <bibo:uri rdf:resource=""/> <dc:contributor>Strobelt, Hendrik</dc:contributor> </rdf:Description> </rdf:RDF>

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