Knoocks: New Visualization Approach for Ontologies
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
SeMap: A Concept for the Visualization of Semantics as Maps
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Knoocks - A Visualization Approach for OWL Lite Ontologies
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
OWL Ontology Visualization: Graphical Representations of Properties on the Instance Level
IV '10 Proceedings of the 2010 14th International Conference Information Visualisation
A reference model for adaptive visualization systems
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Hi-index | 0.00 |
Semantically annotated data gain more and more importance in future information acquiring processes. Especially the Linked Open Data (LOD) format has already experienced a great growth. However, the user-interfaces of web-applications mostly do not reflect the added value of semantics data. The following paper describes a new approach of user-centered data-adaptive semantics visualization, which makes use of the advantages of semantics data combined with an adaptive composition of information visualization techniques. It starts with a related work section, where existing LOD systems and information visualization techniques are described. After that, the new approach will bridge the gap between semantically annotated data (LOD) and information visualization and introduces a visualization system that adapts the composition of visualizations based on the underlying data structure. A case study of an example case will conclude this paper.