Towards Scalable Visual Exploration of Very Large RDF Graphs

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...

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Bibliographic Details
Published inThe Semantic Web: ESWC 2015 Satellite Events pp. 9 - 13
Main Authors Bikakis, Nikos, Liagouris, John, Kromida, Maria, Papastefanatos, George, Sellis, Timos
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesLecture Notes in Computer Science
Subjects
Disk based visualization tool
Graph data
graphVizdb
Partition based graph layout
RDF graph visualization
Spatial
Visualizing linked data
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Summary: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.
ISBN:3319256386
9783319256382
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-25639-9_2