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
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 : 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
Document type :
Conference papers
Bases de Données Avancées, Oct 2013, Nantes, France. 2013
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https://hal.inria.fr/hal-00868616
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Submitted on : Tuesday, October 1, 2013 - 4:28:46 PM
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Dario Colazzo, François Goasdoué, Ioana Manolescu, Alexandra Roatis. Warehousing RDF Graphs. Bases de Données Avancées, Oct 2013, Nantes, France. 2013. <hal-00868616>

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