I've seen this type of statement in regard to Oracle whereby a materialized query is disk based and updated periodically based on the query. It's useful in BI where you don't require the latest data. As to RDF the closest I can parallel is persisting inference (think RDFS subclass of i.e. A -> B -> C) so as not to incur the overhead at query time. But others would call that pre computing or caching or anyone of a number of similar terms...
On 26 April 2017 at 13:30, javed khan <[email protected]> wrote: > Lorenz, I have seen it in a statement like " Materialize queries are used > to reduce the number of necessary joins and processing time". > > On Wed, Apr 26, 2017 at 8:52 AM, Lorenz B. < > [email protected]> wrote: > > > Please understand that the term "materialised SPARQL queries" is not a > > common one, thus, probably nobody will be able to answer your question. > > > > So let me ask you, WHAT is a materialised SPARQL query and WHERE have > > you see this expression? > > > > > Hello > > > > > > What is materialized SPARQL queries and how it differs from other > > queries? > > > > > > Regards > > > > > -- > > Lorenz Bühmann > > AKSW group, University of Leipzig > > Group: http://aksw.org - semantic web research center > > > > >
