SparQLed - Assisted SPARQL Editor
SparQLed is an interactive SPARQL editor that provides context-aware recommendations, helping users in formulating complex SPARQL queries across multiple heterogeneous data sources.
Read More about SparQLed in the Interview on SemanticWeb.com.
Source code (v0.9)DocumentationHCLS demoDBpedia demoGoogle Group
Features
- SPARQL 1.1 support*
- Context-aware vocabulary auto-completion
- Relationships recommendations between variables
- Predicate, Class and Graph Name recommendations
- Prefix and Keyword search support
- Explore the structure and vocabulary
- Less ZERO-results queries
How does it work ?
Data Graph Summary[1] powered
The Data Graph Summary is a RDF graph that contains a structural description of your datasets. SparQLed makes use of the entire query structure and of the Data Graph Summary in order to present to the user possible query elements.
The bottom layer in the picture displays your original datasets. They are condensed into the Data Graph Summary, e.g., the resources of type Person are represented as a single resource labelled Person, where the cardinality indicates how many resources were aggregated.
How to query the Data Graph Summary ?
The Dataset Analytics Vocabulary ontology is a vocabulary used for modelling the Data Graph Summary in RDF. Therefore, it is accessible through a SPARQL endpoint and can be used in diverse applications, not only limited to SparQLed.
The SparQLed installation documentation provides examples on how to formulate queries within the Appendix Section.
Licence
This software is available under the AGPL Version 3 license.
However, we are considering other, open-source, licensing.
Please stay tuned
Support
For support visit the sparqled google group or post your questions to sparqled@googlegroups.com.
Acknowledgement
Developed at the DERI Institute
,
based upon works supported by the European FP7 project LOD2 (257943).
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This software contains code from the Flint SPARQL Editor project.
SparQLed Research and Development
- Project Lead: Giovanni Tummarello
- R&D Lead: Renaud Delbru
- R&D: Pierre Bailly-Ferry, Stephane Campinas, Diego Ceccarelli, Szymon Danielczyk, Bibhas Das, Renaud Delbru, Dana Klassen, Thomas E. Perry
* The syntax highlighting and recommendation is SPARQL1.0. It will be upgraded to SPARQL1.1 in the near future.