An algorithm for drawing general undirected graphs
Information Processing Letters
Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
A multi scale algorithm for drawing graphs nicely
Discrete Applied Mathematics - special issue on the 25th international workshop on graph theoretic concepts in computer science (WG'99)
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
RDF, topic maps, and the semantic Web
Markup Languages
XML topic maps through RDF glasses
Markup Languages
User Experiments with Tree Visualization Systems
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
ISWIVE: An Integrated Semantic Web Interactive Visualization Environment
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
RDF/XTM ontology construction based on a topic maps-driven framework
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
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Information visualization has been popularly applied to the Semantic Web to facilitate the presentation of data semantics. Since, the past visualization interfaces, based either on RDF or on Topic Maps, only present a partial view of the Semantic Web space, an integrated view would be needed to demonstrate the panorama and help users access the Semantic Web resources. We have presented an Integrated Semantic Web interactive visualization environment (ISWIVE) to incorporate topic features from Topic Maps into RDF, and showed that both the detailed resource descriptions and the overall topic relationships can be clearly visualized. In this paper, we present an improved ISWIVE interface that provides a mixed-model visualization in a clearer layout and supports a concurrent display of both RDF and Topic Maps views. Quantitative analyses were conducted to show the enhancement of the improved ISWIVE interface and the differences between the textual interface and the original ISWIVE prototype.