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Thoughts regarding KR structuring + related question:

Besides structuring knowledge representation along the distinction of elements and relations, there is another orthogonal structuring principle along the distinction of system and environment - in other words breaking systems into sub-systems (Linked Data analogies I think are hierarchical naming system and namespaces).
In terms of general systems theory this is systems complexity (elements/relations) vs. systems differentiation (system/environment).

I wonder if this cybernetic point of view has been formally expoited in knowledge representation regarding theory, calculi and tools? 
Any clues? 

When applying Linked Data on really large scale within the enterprise, issues of systems differention will be growing ... and I'd like to have some practical answers then :-)

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Stefan, Patrick Logan an I had a discussion lately on Twitter, where I brought up the FCA formalism. Now I found some work, that might be relevant:

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Are classes in RDF a "premature optimization" (as discussed here for programming languages)?

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