Rdflib has support for SPARQL queries on local graphs and remote SPARQL
endpoints, but doesn't specify a framework to use to send results back over
HTTP per e.g.  SPARQL 1.1 UPDATE or SPARQL 1.1 Graph Store HTTP Protocol.

https://rdfextras.readthedocs.io/en/latest/working_with.html#working-with-sparql

SPARQL 1.1 Update
https://www.w3.org/TR/sparql11-update/

SPARQL 1.1 Graph Store HTTP Protocol
https://www.w3.org/TR/sparql11-http-rdf-update/

FWIU, LDP is an alternate way to share subgraphs over HTTP which specifies
how to do pagination, where SPARQL does not and something should enforce a
default and a maximum LIMIT clause.

What does this query do when run by many users concurrently?

SELECT ?s,  ?p, ?o LIMIT 1000000000000;

That's okay though, because like any database can be trivially DOS'd if the
DB interface is exposed to end users, right?

So, there is not an opportunity to eliminate the web application server
tier because SPARQL endpoints cannot be exposed to end users without
creating a Denial-of-Service vulnerability.

Which framework should a reference e.g. LDP or SOLID (LDP+[...])
implementation be written for?

- Django, on top of DRF
- Flask, because I want to reinvent auth/authz for every implementation
- Flask, because it's more async
- ?



On Sun, May 30, 2021, 06:59 richarddi...@gmail.com <
richarddijkstra1...@gmail.com> wrote:

> As far as I know no Python based sparql-endpoint (like Fuseki,
> https://jena.apache.org/documentation/fuseki2/) implementations exist.
>
> Do (previous) initiatives exist with this goal?
>
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