RDF Analytics: Lenses over Semantic Graphs

Dario Colazzo 1, 2 François Goasdoué 1, 3 Ioana Manolescu 1, 4 Alexandra Roatis 1, 4
1 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
3 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : The development of Semantic Web (RDF) brings new requirements for data analytics tools and methods, going beyond querying to semantics-rich analytics through warehouse-style tools. In this work, we fully redesign, from the bottom up, core data analytics concepts and tools in the context of RDF data, leading to the first complete formal framework for warehouse-style RDF analytics. Notably, we define i) analytical schemas tailored to heterogeneous, semantics-rich RDF graph, ii) analytical queries which (beyond relational cubes) allow flexible querying of the data and the schema as well as powerful aggregation and iii) OLAP-style operations. Experiments on a fully-implemented platform demonstrate the practical interest of our approach.
keyword : RDF data warehouse OLAP
Document type :
Conference papers
23rd International World Wide Web Conference, Apr 2014, Seoul, South Korea. 2014, <10.1145/2566486.2567982>
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https://hal.inria.fr/hal-00960609
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Submitted on : Tuesday, March 18, 2014 - 2:25:47 PM
Last modification on : Wednesday, August 2, 2017 - 10:07:03 AM
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Dario Colazzo, François Goasdoué, Ioana Manolescu, Alexandra Roatis. RDF Analytics: Lenses over Semantic Graphs. 23rd International World Wide Web Conference, Apr 2014, Seoul, South Korea. 2014, <10.1145/2566486.2567982>. <hal-00960609>

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