Hi,
I am new to Stardog. I would like to know whether Stardog supports for automatic inference where inference is done while data is being stored rater than loading the model to either jena/sesame and then performing the inference which causes the performance issue when the data grows.
I would be happy if anyone could explain me how to add swrl rule to Stardog for automatic rule execution.
Thanks
Anand
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Hi Mike,
Thanks for your study material.
Please find the attached ontology.
I have 4 instances of type Person, anil, bob, kamal and tony. Their age are respectively 17, 18, 20 and 21.
now, i have the rule, Person(?x), age(?x, ?y), greaterThanOrEqual(?y, 18) -> Adult(?x)
then, i have created the database in stardog and stored this owl data.
stardog-admin create -n test -t D -u admin -p admin --server snarl://localhost:5820/ examples/data/stardogreasoning.owl
Executing the query
stardog query -c "http://localhost:5822/test;reasoning=QL" -q "SELECT DISTINCT ?s WHERE { ?s rdf:type reasoning:Adult } LIMIT 10"
When I execute this query. bob, kamal and tony should be type of Adult. But this doesn't happen.Am I doing anything wrong?
On Apr 20, 2013 5:01 AM, "Anand Raj" <an...@socure.me> wrote:
>
> Thanks. When can I expect the next release?
>
Sometime this coming week.
> How would be performance when the data grows to millions of triples.
>
Good, typically.
Cheers,
Kendall
Awaiting for next release. We are badly waiting for the next release where the interference is done at the query time (SWRL greater/lesser Than Issue).