Skip to Main content Skip to Navigation
Reports

A SPARQL 1.1 Query Builder for the Data Analytics of Vanilla RDF Graphs

Sébastien Ferré 1
1 SemLIS - Semantics, Logics, Information Systems for Data-User Interaction
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : As more and more data are available as RDF graphs, the availability of tools for data analytics beyond semantic search becomes a key issue of the Semantic Web. Previous work has focused on adapting OLAP-like approaches and question answering by modelling RDF data cubes on top of RDF graphs. We propose a more direct – and more expressive – approach by guiding users in the incremental building of SPARQL 1.1 queries that combine several computation features (aggregations, expressions, bindings and filters), and by evaluating those queries on unmodified (vanilla) RDF graphs. We rely on the N<A>F design pattern to hide SPARQL behind a natural language interface, and to provide results and suggestions at every step. We have implemented our approach on top of Sparklis, and we report on three experiments to assess its expressivity, usability, and scalability.
Document type :
Reports
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal.inria.fr/hal-01820469
Contributor : Sébastien Ferré <>
Submitted on : Friday, June 22, 2018 - 1:20:04 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:52 PM
Document(s) archivé(s) le : Tuesday, September 25, 2018 - 11:41:20 AM

File

paper_as_report.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01820469, version 1

Citation

Sébastien Ferré. A SPARQL 1.1 Query Builder for the Data Analytics of Vanilla RDF Graphs. [Research Report] IRISA Rennes Bretagne Atlantique, équipe LIS. 2018. ⟨hal-01820469⟩

Share

Metrics

Record views

277

Files downloads

199