RDF Analytics: Lenses over Semantic Graphs - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2014

RDF Analytics: Lenses over Semantic Graphs

Résumé

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.

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Dates et versions

hal-00960609 , version 1 (18-03-2014)

Identifiants

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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. ⟨10.1145/2566486.2567982⟩. ⟨hal-00960609⟩
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