Title :
Exploring large readable and interactive RDF graphs
Author :
Deligiannidis, Leonidas
Author_Institution :
Wentworth Inst. of Technol.
Abstract :
In this paper we present an algorithm that enhances our previous user-centered, semi-autonomous visualization tool. Our previous tool is used to incrementally explore and visualize large RDF ontologies. Even though this implementation is very fast, hot spots in the graph i.e. nodes with a large number of immediate neighbors, clutter the display and decrease the level of interactivity. We propose a new algorithm that enhances our previous implementation by a) clustering information around hot spots and making the display readable, and b) as a result increase the frame rate and the level of interactivity.
Keywords :
data visualisation; graph theory; interactive systems; ontologies (artificial intelligence); interactive RDF graph; large RDF ontology visualization; large readable graph; Artificial intelligence; Clustering algorithms; Data visualization; Displays; Knowledge representation; Management information systems; Navigation; Ontologies; Resource description framework; Space technology; Visualization; interaction techniques; ontologies;
Conference_Titel :
Human System Interactions, 2009. HSI '09. 2nd Conference on
Conference_Location :
Catania
Print_ISBN :
978-1-4244-3959-1
Electronic_ISBN :
978-1-4244-3960-7
DOI :
10.1109/HSI.2009.5091026
