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SemaVis: A New Approach for Visualizing Semantic Information

Nazemi, Kawa ; Breyer, Matthias ; Burkhardt, Dirk ; Stab, Christian ; Kohlhammer, Jörn (2014)
SemaVis: A New Approach for Visualizing Semantic Information.
doi: 10.1007/978-3-319-06755-1_15
Buchkapitel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Buchkapitel
Erschienen: 2014
Autor(en): Nazemi, Kawa ; Breyer, Matthias ; Burkhardt, Dirk ; Stab, Christian ; Kohlhammer, Jörn
Art des Eintrags: Bibliographie
Titel: SemaVis: A New Approach for Visualizing Semantic Information
Sprache: Englisch
Publikationsjahr: 2014
Verlag: Springer, Berlin, Heidelberg, New York
Reihe: Cognitive Technologies
DOI: 10.1007/978-3-319-06755-1_15
Kurzbeschreibung (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.

Freie Schlagworte: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Adaptive information visualization, Semantics visualization, Semantic web, Visualization frameworks
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 12 Nov 2018 11:16
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