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2017 IEEE 11th International Conference on Semantic Computing (ICSC) (2017)
San Diego, California, USA
Jan. 30, 2017 to Feb. 1, 2017
ISBN: 978-1-5090-4284-5
pp: 125-132
ABSTRACT
The Semantic Web architecture choices lead to a tremendous amount of information published on the Web. However, to query and build applications on top of Linked Open Data is still significantly challenging. In this work, we present Knowledge Box (KBox), an approach for transparently shifting query execution on Knowledge Graphs to the edge. We show that our approach makes the consumption of Knowledge Graphs more reliable and faster than the formerly introduced methods. In practice, KBox demands less time and resources to setup than traditional approaches, while being twice as fast as SPARQL endpoints, even when serving a single client.
INDEX TERMS
Distributed RDF Knowledge Graph Processing Serving RDF Knowledge Graphs Querying RDF Knowledge Graphs, Edge Computing on RDF Knowledge Graphs, RDF Services and Infrastructure
CITATION

E. Marx, C. Baron, T. Soru and S. Auer, "KBox — Transparently Shifting Query Execution on Knowledge Graphs to the Edge," 2017 IEEE 11th International Conference on Semantic Computing (ICSC), San Diego, California, USA, 2017, pp. 125-132.
doi:10.1109/ICSC.2017.77
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