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
  ° Web data management

Group
  ° Large-scale Heterogeneous DAta and Knowledge

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