Methodology Library
Canonical definitions for the methodologies behind grounded AI.
Runtime Ontology Schema Editing Through Type Alignment - dynamic schema transformation preserving semantic integrity.
Schema-Aware Foundation for Enterprise AI - systematic methodology for grounding AI in semantic structure.
Three-dimensional framework: Container (structure) × Lexical (terminology) × Referential (grounding).
Retrieval approach that preserves semantic structure during context assembly, maintaining relationships that enable precise, deterministic operations.
Meta-layer enabling bidirectional LPG↔RDF transformations while preserving semantic integrity.