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SemaVis: A New Approach for Visualizing Semantic Information

  • Kawa Nazemi
  • Matthias Breyer
  • Dirk Burkhardt
  • Christian Stab
  • Jörn Kohlhammer
Chapter
Part of the Cognitive Technologies book series (COGTECH)

Abstract

Information is an indispensable resource today. Access to and interaction with information play more and more a key role, whereas the amount of accessible information increases. Semantic technologies provide new solutions to structure this important property. One promising way to access the complex semantic structures and the huge amount of data is visualization. Today’s Semantic Visualization systems offer primarily proprietary solutions for predefined and known users and usage scenarios. The adaptation to other scenarios and users is often cost- and time-consuming. This article presents a novel model for a fully adaptable and adaptive Semantics Visualization framework. Starting with the introduction of a new visualization model, the implementation of this model will be described. The article concludes with selected advantages of the described visualization technology.

Keywords

Semantic Information Resource Description Framework Usage Scenario Semantic Structure Semantic Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Further Reading

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kawa Nazemi
    • 1
  • Matthias Breyer
    • 1
  • Dirk Burkhardt
    • 1
  • Christian Stab
    • 1
  • Jörn Kohlhammer
    • 1
  1. 1.Fraunhofer Institute for Computer Graphics Research (IGD)DarmstadtGermany

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