TU Darmstadt / ULB / TUbiblio

Adaptive Semantic Visualization for Bibliographic Entries

Nazemi, Kawa and Retz, Reimond and Bernard, Jürgen and Kohlhammer, Jörn and Fellner, Dieter W. (2013):
Adaptive Semantic Visualization for Bibliographic Entries.
Springer, Berlin, Heidelberg, New York, In: Advances in Visual Computing. 9th International Symposium, ISVC 2013, In: Lecture Notes in Computer Science (LNCS); 8034, DOI: 10.1007/978-3-642-41939-3₂, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Nazemi, Kawa and Retz, Reimond and Bernard, Jürgen and Kohlhammer, Jörn and Fellner, Dieter W.
Title: Adaptive Semantic Visualization for Bibliographic Entries
Language: English
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.

Series Name: Lecture Notes in Computer Science (LNCS); 8034
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Information visualization, Adaptive visualization, Digital libraries, Semantics visualization, User modeling, Semantics generation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Advances in Visual Computing. 9th International Symposium, ISVC 2013
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-41939-3₂
Export:

Optionen (nur für Redakteure)

View Item View Item