The following 3 files (within the zipfile):
- ftrdfadapt.py (Population adaptor for 4RDF)
- ftrdfutil.py (implementes a MemPopulation as a 4RDF Model using the Memory driver)
- anyrdf.py (updated to support --use-ftrdf option)
are included and provide an adaption of the GraphPath RDF drivers for a 4RDF model (using any underlying datastore driver). The advantage for GraphPath is that a model connected this way can be queried via Versa as well as using GraphPath expressions that are aware of entailments specified by rules (the combination is powerful, I think). For 4RDF, this allows out of the box inferencing (once the user-specified rules have are bound to the Sandbox) on existing 4RDF models. I think there is alot of synergy between both projects and am interested in further augmentations - I can think of a million.