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RDF Analytics: Lenses over Semantic Graphs

Roatis, Alexandra; Manolescu, Ioana; Goasdoué, François; Colazzo, Dario (2014), RDF Analytics: Lenses over Semantic Graphs, in Suel, Torsten; Shim, Kyuseok; Broder, Andrei; Chung, Chin-Wan, WWW '14 Proceedings of the 23rd international conference on World wide web, ACM : New York, p. 467-478. http://dx.doi.org/10.1145/2566486.2567982

Type
Communication / Conférence
External document link
http://hal.inria.fr/hal-00960609
Date
2014
Conference title
23rd International World Wide Web Conference
Conference date
2014-04
Conference city
Séoul
Conference country
Corée du Sud
Book title
WWW '14 Proceedings of the 23rd international conference on World wide web
Book author
Suel, Torsten; Shim, Kyuseok; Broder, Andrei; Chung, Chin-Wan
Publisher
ACM
Published in
New York
Pages
467-478
Publication identifier
Metadata
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Author(s)
Roatis, Alexandra
Manolescu, Ioana cc
Goasdoué, François
Colazzo, Dario
Abstract (EN)
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.
Subjects / Keywords
OLAP; data warehouse; RDF