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Conference papers

Warehousing RDF Graphs

Dario Colazzo 1, 2 François Goasdoué 1, 2 Ioana Manolescu 1, 2 Alexandra Roatis 2, 1
2 OAK - Database optimizations and architectures for complex large data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Research in data warehousing (DW) has developed expressive and efficient tools for the multidimensional analysis of large amounts of data. As more data gets produced and shared in RDF, analytic concepts and tools for analyzing such irregular, graph-shaped, semantic-rich data need to be revisited. We introduce the first all-RDF model for warehousing RDF graphs. Notably, we define analytical schemas and analytical queries for RDF, corresponding to the relational DW star/snowflake schemas and cubes. We also show how typical OLAP operations can be performed on our RDF cubes, and experiments on a fully-implemented platform demonstrating the practical interest of our approach.
keyword : RDF data warehouse OLAP
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Contributor : Alexandra Roatis <>
Submitted on : Tuesday, October 1, 2013 - 4:28:46 PM
Last modification on : Wednesday, January 6, 2021 - 11:30:12 AM
Long-term archiving on: : Friday, April 7, 2017 - 4:41:31 AM


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  • HAL Id : hal-00868616, version 1



Dario Colazzo, François Goasdoué, Ioana Manolescu, Alexandra Roatis. Warehousing RDF Graphs. Bases de Données Avancées, Oct 2013, Nantes, France. ⟨hal-00868616⟩



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