Thibaut, while it's certainly exciting to see continued work on the development of storage solutions and hybrids are most likely part of the future story here I'd also would to stay as close as possible to existing Semantic Web / Linked Data standards like RDF and SPARQL to guarantee interop and extensibility.

no matter what mix of underlying tech is being deployed here under the hood.

On Fri, Jun 21, 2019 at 11:56 PM Thibaut DEVERAUX <thibaut.deveraux@gmail.com> wrote:
Dear,

I've seen this suggestion on Quora : 
https://www.quora.com/Wouldnt-a-mix-database-system-that-handle-both-JSON-documents-and-graph-functions-like-ArangoDB-provide-a-better-scalability-to-enormous-knowledge-graphs-like-Wikidata-than-a-classical-quadstore 

 I'm not qualified enough to know if it is relevant but this could be some brainstorming.

Regards



Le mer. 19 juin 2019 à 19:45, Finn Aarup Nielsen <faan@dtu.dk> a écrit :

Changing the subject a bit:

I am surprised to see how many SPARQL requests go to the endpoint when
performing a ShEx validation with the shex-simple Toolforge tool. They
are all very simple and quickly complete. For each Wikidata item tested,
one of our tests [1] requests tens of times. That is, testing 100
Wikidata items may yield thousands of requests to the endpoint in rapid
succession.

I suppose that given the simple SPARQL queries, these kinds of requests
might not load WDQS very much.


[1]
https://tools.wmflabs.org/shex-simple/wikidata/packages/shex-webapp/doc/shex-simple.html?data=Endpoint:%20https://query.wikidata.org/sparql&hideData&manifest=[]&textMapIsSparqlQuery&schemaURL=%2F%2Fwww.wikidata.org%2Fwiki%2FSpecial%3AEntitySchemaText%2FE65


Finn
http://people.compute.dtu.dk/faan/

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