WaRG: Warehousing RDF Graphs

Dario Colazzo 1, 2 Tushar Ghosh 1, 2 François Goasdoué 2, 1 Ioana Manolescu 1, 2 Alexandra Roatis 1, 2
2 OAK - Database optimizations and architectures for complex large data
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We propose to demonstrate WaRG, a system for performing warehouse-style analytics on RDF graphs. To our knowledge, our framework is the first to keep the warehousing process purely in the RDF format and take advantage of the heterogeneity and semantics inherent to this model.
keyword : RDF data warehouse OLAP
Document type :
Conference papers
Complete list of metadatas

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-00868670
Contributor : Alexandra Roatis <>
Submitted on : Tuesday, October 1, 2013 - 5:12:43 PM
Last modification on : Monday, May 28, 2018 - 2:38:02 PM
Long-term archiving on: Friday, April 7, 2017 - 4:45:24 AM

File

paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00868670, version 1

Collections

Citation

Dario Colazzo, Tushar Ghosh, François Goasdoué, Ioana Manolescu, Alexandra Roatis. WaRG: Warehousing RDF Graphs. Bases de Données Avancées, Oct 2013, Nantes, France. ⟨hal-00868670⟩

Share

Metrics

Record views

710

Files downloads

371