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Preprints, Working Papers, ... Year : 2018

Summary-based optimization in semantic graph databases

Isak Czeresnia Etinger
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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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Dates and versions

hal-01742495 , version 1 (29-03-2018)

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  • HAL Id : hal-01742495 , version 1

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