I'm querying across multiple named graphs, and given the shape of the data it looks like I'll have the choice between -
a) creating a dataset and using queries with multiple GRAPH blocks b) merging the graphs into one and then querying that as the default graph Either way I should get the same results. Typically there will be a single shared node across the graphs, a kind of foreign key (this is also currently the name of a graph, though that may change). Is either approach likely to be significantly faster in general, or is it entirely case-dependent? I've a feeling this has an obvious answer but seem to have a mental block on factoring these things out. Implementationwise I'm using ARQ in-memory (already flipped there from using MySQL-backed models, there's a possibility of having to flip back, praise be to common interfaces). Cheers, Danny. -- http://dannyayers.com
