%0 Journal Article %T Towards Scalable Visual Exploration of Very Large RDF Graphs %A Nikos Bikakis %A John Liagouris %A Maria Krommyda %A George Papastefanatos %A Timos Sellis %J Computer Science %D 2015 %I arXiv %X In this paper, we outline our work on developing a disk-based infrastructure for efficient visualization and graph exploration operations over very large graphs. The proposed platform, called graphVizdb, is based on a novel technique for indexing and storing the graph. Particularly, the graph layout is indexed with a spatial data structure, i.e., an R-tree, and stored in a database. In runtime, user operations are translated into efficient spatial operations (i.e., window queries) in the backend. %U http://arxiv.org/abs/1506.04333v2