User-Centered Incremental RDF Data Exploration and Visualization

A poster presentation written by Leon Deligiannidis, Amit Sheth and Krys Kochut. It was presented at the ESWC2007. It is about Ontology Visualization and Incremental Data Exploration

[edit] Abstract

We present Paged Graph Visualization (PGV), a new semi-autonomous visualization tool for RDF data exploration, validation and examination. PGV consists of two main components: the PGV visualizer and the RDF pager module utilizing BRAHMS, our high performance main-memory RDF storage system. Unlike the existing graph visualization techniques which attempt to display the entire graph, PGV has been designed for the incremental, semantics-driven exploration of very large RDF ontologies. A novel, Ferris-Wheel-like visualization technique is used to explore hot spots in the graph, i.e. nodes with large numbers of immediate neighbors. In response to the user-controlled, semantics-driven direction of the exploration, the PGV visualizer obtains the necessary sub-graphs from the RDF explorer and enables their incremental visualization leaving the previously laid out sub-graphs intact. We outline the problem of visualizing large RDF data sets, discuss the interface and its implementation, and through a controlled experiment we show the benefits of PGV.

This data has been imported from the ESWC2007 RDF