If you don't have to use a reasoner you can easily make the copy of the data
and the inference work with SPARQL queries.
An INSERT WHERE query could allow you to copy some type of data to a target
graph (it exists a COPY query too, if you want to copy an entire graph
directly), and you can run inference only on this targeted graph by the use of
queries like this one :
#rdfs inference of symmetric triples.
INSERT { graph <inference graph> {?o ?p ?s} }
WHERE{
graph <targeted graph> { ?s ?p ?o}.
?p rdf:type SymetricPropery
}
The inference graph at the end will contain all the inferred triples.
Hope this could help you !
VAÏSSE-LESTEVEN Arthur.
________________________________
De : David Jordan <[email protected]>
À : [email protected]
Envoyé le : Vendredi 23 août 2013 2h03
Objet : inferencing a small subset of a graph
The default Jena reasoner performs inference on an entire graph. For a very
large graph, this inferencing can be fairly expensive. I got asked today
whether there is any way to just do inferencing on a small subset of a very
large graph.
I am wondering whether it would be feasible and make sense to create a new
in-memory graph and then essentially make a copy of the relevant triples from
the very large graph into this in-memory graph, and then perform inferencing
just on that small graph. The purpose is to answer a query or question on a
small subset of the graph without incurring the overhead of doing it for the
entire graph.
Is this a common practice? Best practice? Are there any recommended ways to
efficiently implement the copy process from the stored graph into the in-memory
graph?
If I could get a response by noon EST Friday, that would be great, as I have a
presentation at 1 that this may come up.
