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SemaVis: A New Approach for Visualizing Semantic Information

Nazemi, Kawa and Breyer, Matthias and Burkhardt, Dirk and Stab, Christian and Kohlhammer, Jörn (2014):
SemaVis: A New Approach for Visualizing Semantic Information.
Springer, Berlin, Heidelberg, New York, pp. 191-202, DOI: 10.1007/978-3-319-06755-1₁₅,
[Book Section]

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. Starling 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.

Item Type: Book Section
Erschienen: 2014
Creators: Nazemi, Kawa and Breyer, Matthias and Burkhardt, Dirk and Stab, Christian and Kohlhammer, Jörn
Title: SemaVis: A New Approach for Visualizing Semantic Information
Language: English
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. Starling 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.

Series Name: Cognitive Technologies
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Adaptive information visualization, Semantics visualization, Semantic web, Visualization frameworks
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-319-06755-1₁₅
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