After the last post, I decided to rejig the internal architecture (which is now much cleaner) and to try making use of FrameNet for bridging between syntax and semantics.
However, FrameNet uses example sentences to link semantics to syntax, so to use the data, I really need a decent syntactic parser. So after some messing, I’ve done the obvious thing and plugged in Stanford Core NLP to handle parsing.
The dependency parser, it turns out, has very nice output that I can easily represent and navigate in RDF.
Next step is to work on reading the FrameNet example sentences and doing something with them.
Working Models of a Brain 