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  4. SemaZoom: Semantics exploration by using a layer-based focus and context metaphor
 
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2011
Conference Paper
Title

SemaZoom: Semantics exploration by using a layer-based focus and context metaphor

Abstract
The Semantic Web is a powerful technology for organizing the data in our information based society. The collection and organization of information is an important step for showing important information to interested people. But the usage of such semantic-based data sources depends on effective and efficient information visualizations. Currently different kinds of visualizations in general and visualization metaphors do exist. Many of them are also applied for semantic data source, but often they are designed for semantic web experts and neglecting the normal user and his perception of an easy useable visualization. This kind of user needs less information, but rather a reduced qualitative view on the data. These two aspects of large amount of existing data and one for normal users easy to understand visualization is often not reconcilable. In this paper we create a concept for a visualization to show a bigger set of information to such normal users without overstraining them, because of layer-based data visualization, next to an integration of a Focus and Context metaphor.
Author(s)
Burkhardt, Dirk
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Nazemi, Kawa
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Breyer, Matthias
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Stab, Christian
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Human centered design. Second international conference, HCD 2011  
Conference
International Conference on Human Centered Design (HCD) 2011  
International Conference on Human-Computer Interaction (HCI International) 2011  
DOI
10.1007/978-3-642-21753-1_55
Additional link
Full text
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • human-computer interface

  • semantic visualization

  • information visualization

  • semantic web

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