Towards Scalable Visual Exploration of Very Large RDF Graphs Full text

Nikos Bikakis, John Liagouris, Maria Kromida, George Papastefanatos, and Timos Sellis
12th Extended Semantic Web Conference (ESWC 2015)
Abstract. 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.