How are you?
I 'm taking my first steps with GraphDb and I've found a couple of behaviors that I don't quite understand. Let me build the case.
I have the following Ontology, which I have loaded into GraphDb. enter image description here
Let's only consider the tree under Persona. When I go to Visual Graph and type :Persona in the search bar, this is what returns: enter image description here
As you can see all the nodes corresponding to the ontology are there, but also some other nodes like Class (in different colors), and Thing and Nothing. (Ignore Paul which is an instance I added)
What are these other nodes? and how can I prevent them from appearing in this view?
Now, when I query with SPARQL, and I run
select * where {
?s ?p ?o .
}
If I have "Include inferred data in results" Off, I get this
Which is fine. It's what I would expect.
But ... when I turn inference On , which I believe is one of the true powers of working with rdf, I get around 800 records with all sort of triples with definitions for owl and rdf generic objects.
In order to get only my stuff and keep the inference capability on, I filtered as follows
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX pe: <http://www.semanticlab.com/ontologias/EmpresasYPersonas#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
select * where {
?s ?p ?o .
FILTER (REGEX(str(?s),"Persona*" )).
FILTER (!REGEX(str(?o),"owl*" )).
FILTER (!REGEX(str(?o),"rdf*" )).
}
order by ?s
Which returns
Here I see some inferencing, for example Paul classified as a Persona, which is not explicitly stated. But on the other hand there are a bunch of new triples that I don't understand nor want, as they don't bring any value: for example the ones with owl:sameAs, owl:equivalentClass, or the ones stating that Persona is a subClassOf Persona (which in fact I believe is wrong).
Could you please explain why this is happening, and how to prevent this behavior?
I'm aware that I might be making some mistakes, so if you spot any, please let me know.