Exploring Large RDF Datasets using a Faceted Search.

We propose a facet-based RDF data exploration mechanism that lets the user visualize large RDF datasets by successively refining a query. The novel aspects of our work are: i) the SPARQL query pattern is visualized as a query graph, ii) the successive refinements are visualized in a query refinement graph, and iii) the result triples are visualized as a result RDF graph. The scheme is scalable and it visualizes RDF graphs stored in Oracle Database 12c Spatial and Graph Option with Cytoscape, a graph visualization tool.