Re: persistent inference on named graphs in Fuseki

Datasets are covered very nicely in the RDF core recommendations: https://www.w3.org/TR/rdf11-concepts/#section-dataset --- A. Soroka The University of Virginia Library > On Apr 2, 2017, at 5:38 AM, Dave Reynolds wrote: > > On 02/04/17 10:25, Laura Morales wrote:

Re: persistent inference on named graphs in Fuseki

On 02/04/17 10:25, Laura Morales wrote: - no inference over the whole graph, only inference on a single graph No inference support over the whole *Dataset*. "whole graph" I mean 2 or more graphs loaded into the server, that together make a larger graph. Isn't this the same thing as

Re: persistent inference on named graphs in Fuseki

>> - no inference over the whole graph, only inference on a single graph > > No inference support over the whole *Dataset*. "whole graph" I mean 2 or more graphs loaded into the server, that together make a larger graph. Isn't this the same thing as "dataset"? Or am I missing something?

Re: persistent inference on named graphs in Fuseki

On 02/04/17 09:31, Laura Morales wrote: There's no built in support for inference over a dataset as a whole. There's no support for rules which test which graph a triple is in or which assert results into difference graphs etc. - no inference over the whole graph, only inference on a single

Re: persistent inference on named graphs in Fuseki

On 02/04/17 10:04, Élie Roux wrote: Hello, Jena's inference is purely in memory so running over a TDB store is possible but doesn't give you any scalability and is slower than running over an in-memory copy of the same data. Plus, as you already know, it's not named-graphs-aware. Thank you

Re: persistent inference on named graphs in Fuseki

Hello, > Jena's inference is purely in memory so running over a TDB store is > possible but doesn't give you any scalability and is slower than > running over an in-memory copy of the same data. Plus, as you already > know, it's not named-graphs-aware. Thank you for your clarifying answer! I

Re: persistent inference on named graphs in Fuseki

> There's no built in support for inference over a dataset as a > whole. There's no support for rules which test which graph a triple is > in or which assert results into difference graphs etc. - no inference over the whole graph, only inference on a single graph - no support to test which graph

Re: persistent inference on named graphs in Fuseki

On 02/04/17 09:18, Laura Morales wrote: Plus, as you already know, it's not named-graphs-aware. what does this mean? The rule-based inference engines only know about Graphs/Models, not Datasets. There's no built in support for inference over a dataset as a whole. There's no support for

Re: persistent inference on named graphs in Fuseki

> Plus, as you already know, it's not named-graphs-aware. what does this mean?

Re: persistent inference on named graphs in Fuseki

[Sorry to be slow to respond, I was hoping someone who understands assemblers might take this.] On 31/03/17 08:10, Élie Roux wrote: Hello, I am currently setting up a Fuseki server with the following specs in mind: - everything persistent in TDB (it works) - many different named graph, with

persistent inference on named graphs in Fuseki

Hello, I am currently setting up a Fuseki server with the following specs in mind: - everything persistent in TDB (it works) - many different named graph, with the default graph being the union of them (it works, but without inference) - very simple inferencing (works but not with named

persistent inference on named graphs in Fuseki

Hello, I am currently setting up a Fuseki server with the following specs in mind: - everything persistent in TDB (it works) - many different named graph, with the default graph being the union of them (it works, but without inference) - very simple inferencing (works but not with named