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Description
A web UI (and perhaps CLI) based on dataset summaries such as those produced by the NDE Dataset Knowledge Graph Pipeline (parts of which will be ported to LDE), we can create an intelligent SPARQL editor helps people write SPARQL queries against the dataset.
- Enter the URL of any SPARQL endpoint or dataset known from any DCAT Dataset Register.
- Look up a dataset summary of the endpoint in the Dataset Knowledge Graph. If it doesn’t exist yet, create one on the fly (asynchronously).
- When the summary is available, we can do things like:
- write
?s a …and we can auto-complete classes - write
?s a schema:Person ; …and we can auto-complete predicates that apply to the Person class - auto-insert only the relevant prefixes used by the dataset, such as
PREFIX schemaetc.
- write
- Additionally, in a side panel, we can show dataset information derived from the Dataset Register, such as name, license etc. of the dataset alongside the dataset summary (with statistics, distributions etc.). This makes
https://killer-app-sparql-query-editor.com/http://my-dataset.com/sparqla good landing page for (technical) users.
All in all, this solves part of the dataset exploration problem: if you have an RDF dataset, how do you know what’s in it, particularly, which queries you can write for it?
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