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Adaptive Semantic Visualization for Bibliographic Entries

Nazemi, Kawa ; Retz, Reimond ; Bernard, Jürgen ; Kohlhammer, Jörn ; Fellner, Dieter W. (2013)
Adaptive Semantic Visualization for Bibliographic Entries.
Advances in Visual Computing. 9th International Symposium, ISVC 2013.
doi: 10.1007/978-3-642-41939-3_2
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Adaptive visualizations aim to reduce the complexity of visual representations and convey information using interactive visualizations. Although the research on adaptive visualizations grew in the last years, the existing approaches do not make use of the variety of adaptable visual variables. Further the existing approaches often premises experts, who has to model the initial visualization design. In addition, current approaches either incorporate user behavior or data types. A combination of both is not proposed to our knowledge. This paper introduces the instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on visual layout and visual presentation in a multiple visualization environment. Based on data type and users' behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonic requirements on both, data types and users' behavior. Our system does not require an initial expert modeling.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Nazemi, Kawa ; Retz, Reimond ; Bernard, Jürgen ; Kohlhammer, Jörn ; Fellner, Dieter W.
Art des Eintrags: Bibliographie
Titel: Adaptive Semantic Visualization for Bibliographic Entries
Sprache: Englisch
Publikationsjahr: 2013
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Lecture Notes in Computer Science (LNCS); 8034
Veranstaltungstitel: Advances in Visual Computing. 9th International Symposium, ISVC 2013
DOI: 10.1007/978-3-642-41939-3_2
Kurzbeschreibung (Abstract):

Adaptive visualizations aim to reduce the complexity of visual representations and convey information using interactive visualizations. Although the research on adaptive visualizations grew in the last years, the existing approaches do not make use of the variety of adaptable visual variables. Further the existing approaches often premises experts, who has to model the initial visualization design. In addition, current approaches either incorporate user behavior or data types. A combination of both is not proposed to our knowledge. This paper introduces the instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on visual layout and visual presentation in a multiple visualization environment. Based on data type and users' behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonic requirements on both, data types and users' behavior. Our system does not require an initial expert modeling.

Freie Schlagworte: Business Field: Visual decision support, Information visualization, Adaptive visualization, Digital libraries, Semantics visualization, User modeling, Semantics generation
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 04 Feb 2022 12:40
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