On Fri, 2010-12-31 at 08:57 -0500, Benson Margulies wrote:
> Step 1:
>
> Model schema = ModelFactory.createDefaultModel();
> schema.read(RdfUtils.getJugOntology(),
> RdfUtils.getJugOntologyUri(), "RDF/XML");
> return ModelFactory.createRDFSModel(schema, data);
What's in the data?
> Step 2: about 50k tuples, many of them owl:sameAs
What is 50k tuples, the data, the schema, both, something else?
> Step 3:
>
> NodeIterator sameAsItems = model.listObjectsOfProperty(root,
> relatingProp); // prop is in fact owl:sameAs
> while (sameAsItems.hasNext()) {
> ...
> }
>
> Runs for a very long time, using a very large amount of memory.
> Eventually runs out of memory.
Strange. The owl:sameAs reasoning can be hugely expensive (it is
fundamentally exponential) but the RDFS reasoner knows nothing about
owl:sameAs so isn't doing any of that reasoning.
I suspect a different problem rather than inference.
> I am at this point about to remove all dependencies on inference and
> use a plain model. Is there something I should learn from this about
> what inference is and isn't useful for?
Not from this example.
Dave
