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.
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01742495
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

File

inf517-project-report36.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01742495, version 1

Citation

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

Share

Metrics

Record views

174

Files downloads

269