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There can be a bit of tradeoff here, depending on the granularities of the dependent entities, and the design of the backend storage system.
One problem is latency; the dependent entities cannot be requested for at least one RTT ;if there are chains of depencies then this can quickly add up (HTTP/2.0 can reduce this effect somewhat).
If most of the dependent entities are used most of the time then it can be more efficient to send a dataset containing multiple entities.
This is especially true if the data is compressed (either ahead of time or on-the-fly). Most compression algorithms require a bit of a run-up to get started.
This is very much the case for RDF - especially n-triples / n-quads, where there aren't any prefixes, and for RDF/XML, which is XML...
This does not lessen the importance of making the other entities available by name (blank nodes must die).
[If the client requests an RDF format that supports named graphs then each entity can go in a separate graph. This can help with caching]
VIAF RDF Changes
Here's a contribution from Jeff Young, who manages the RDF aspects of VIAF: Since Wikidata’s introduction to the Linked Data Web in 2014 and subsequent integration of Freebase, it has become a premier example of how to publish and manage Linked Data. Like VIAF, Wikidata uses Schema.org as its co...
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Apr 15, 2015
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