Summary-based optimization in semantic graph databases

Isak Czeresnia Etinger 1
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
Abstract : RDF is the data model of choice for the semantic Web. SPARQL is the standard of the W3C for querying RDF graph. As the structure of RDF graph is heterogeneous and they lack a schema, evaluating queries over such graphs may be hard. Toward making it more efficient, in this project we study the problem of optimizing SPARQL queries based on RDF quotient summaries.
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Contributor : Isak Czeresnia Etinger <>
Submitted on : Thursday, March 29, 2018 - 11:35:47 PM
Last modification on : Friday, June 14, 2019 - 1:58:53 AM
Long-term archiving on : Thursday, September 13, 2018 - 7:10:07 AM


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  • HAL Id : hal-01742495, version 1


Isak Czeresnia Etinger. Summary-based optimization in semantic graph databases. 2018. ⟨hal-01742495⟩



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