I am making a static RDFS-Plus inference engine.
I have written a function that will make the appropriate inferences for all of the constructs included. For example if this function is passed the triple C1 rdf:subClassOf C2
, then for all X's in triples of the form X rdf:type C1
, a new triple of the form X rdf:type C2
will be produced.
Where I am struggling is in figuring out how to make all possible inferences. The struggle comes from the fact that I must make inferences based off inferences.
Here is where I am at in my program:
1. Parse a `.ttl` file and assert all the triples into a data store.
2. Separate out the triples that represent RDFS-Plus constructs into a list.
3. ??? (make all possible inferences somehow)
The only idea that I am sure would work is to generate all the permutations of the RDFS-Plus list (giving a list of lists), and then for each inner list map my infer function. This is a useless solution though as it is so inefficient.
Is my infer function enough to be able to produce all possible inferences or did I go down a barren path? Do I have enough in place to make a rule dependency graph? I do not know how to calculate if a modelling construct may depend on another construct. For example could owl:FunctionalProperty
depend on rdfs:subClassOf
or is this just gibberish?
I would really appreciate some insight.
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