Ok, I know this just as forward chaining resp. materialization in the context of reasoning. Which indeed needs to re-run it periodically for non static data.
On 26.04.2017 14:39, Dick Murray wrote: > 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 >>> >>>
