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Towards Scalable Visual Exploration of Very Large RDF Graphs

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Publication date
1 January 2015
Publisher
Springer
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    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.ISSN:0302-9743ISSN:1611-334

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