Section: New Software and Platforms

WaRG

Warehousing RDF Graphs

Keywords: Data mining - Semantic Web - Data management - Decision - Big data

Scientific Description

WaRG is a warehouse-style analytics platform on RDF graphs. The tool stores data in kdb+ with a Java frontend based on the Prefuse Visualization toolkit. The novelty of WaRG is to redesign the full stack of Data Warehouse abstractions and tools for heterogeneous, semantics-rich RDF data, this enables a WaRG RDF DW to be an RDF graph itself, heterogeneous and semantics-rich in its turn. Thus, WaRG benefits both from powerful analytics and the rich interoperability and semantic features of Semantic Web databases.

Functional Description

WaRG (Warehousing RDF graph) is an analytical platform specially designed for the analysis of RDF data.

WaRG allows defining RDF analytical schemas, comprising classes and properties interesting for the analysis. The analytical schema can then be materialized, leading to an instance (RDF graph) refined for the needs of the analysis.

The analytical schema can also be automatically built from the input RDF instance. Finally, RDF analytical queries can be specified and lead to RDF analysis cubes.

• Participants: Roatis Alexandra, Ioana Manolescu, Sejla Cebiric and François Goasdoué

• Partners: Université de Rennes 1 - Université Paris-Sud

• Contact: Ioana Manolescu

• URL: https://team.inria.fr/oak/projects/warg/