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 |
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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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