Principlev1
Use typed relationships with semantic labels rather than
Use typed relationships with semantic labels rather than generic connections to reduce ambiguity and enable automated reasoning over knowledge structures.
Why This Is a Principle
This derives from Linguistic Structuring of Thought (language structures thought), Abstraction Necessarily Discards Information (abstraction retains selected relevant features), and Meaning as Receiver Construction (meaning constructed by receivers). The principle states that a link labeled 'causes' carries dramatically more information than 'related'—it eliminates 80-90% of ambiguity. It's prescriptive (label links with types), actionable (changes how you create connections), and grounded in information theory (typed labels reduce uncertainty) and the reality that explicit semantics enable both human and machine reasoning.