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RDF analytics: Lenses over semantic graphs

  • Université Paris Dauphine
  • University of Rennes
  • INRIA Institut National de Recherche en Informatique et en Automatique

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

46 Citations (Scopus)

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. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Original languageEnglish
Title of host publicationWWW 2014 - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery
Pages467-477
Number of pages11
ISBN (Electronic)9781450327442
DOIs
Publication statusPublished - 7 Apr 2014
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: 7 Apr 201411 Apr 2014

Publication series

NameWWW 2014 - Proceedings of the 23rd International Conference on World Wide Web

Conference

Conference23rd International Conference on World Wide Web, WWW 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period7/04/1411/04/14

Keywords

  • Data warehouse
  • OLAP
  • RDF

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