Models (why semantics?)

Hi,

Sorry, I apologise again if I'm bothering someone with all this stuff.

I know it's not gotten read a lot. But if someone does, I'm just looking
forward for some feedback.

I just try to explain the idea of RDF being the platform of (layers) of
metamodels, each one addressing one of: identity alignment and merge,
attribute and links discovery, and ordering / sorting of knowledge.

All this leveraging the separation of concerns as regarded in the OOP
design pattern: DCI (Data, Contexts, Interactions:
https://en.m.wikipedia.org/wiki/Data,_context_and_interaction) which, with
the help of metamodel abstractions (Services) enables the possibility of a
declarative style of programming (see attached document).

Its funny that when I was developing the models I was struggled with the
ways to encode RDF Quads components (CSPO identifiers) in a way compatible
with Machine Learning representations such as those of Google TensorFlow.
Well, it comes up that the metamodels I've developed forms a 3 by 3 matrix
of 'quad tensors' (D, C, I by Schema, Rels, Order) being D, C, I instances
of Schema, Rels and Order. If this is right maybe it should be easier to
develop TF models wrapped around Nodes that should enable ML over this
representations.

My problem is the following: I can't mention Semantic Web (not even this
project) with friends, colleagues, partners or whatever without getting
shout off. And I really don't know if this list are the right place either.
So, feel free to tell me whatever your opinions are or forward me to
another lists.

Thanks in advance,
Sebastián.