#4419 Knowledge Graph for Universal Cross-Domain Analysis
#4419 Knowledge Graph for Universal Cross-Domain Analysis #4419 I have been pursuing analyzing cross-domain systems for similarities, alternate methods and improvements. This is directed at man-made systems. How can I document domains like physics, chemistry, biology, weather, etc. in a knowledge graph to support analysis and discovery? Mapping cross-domain systems to find structural similarities, alternate methods, and improvements is a brilliant approach. You are essentially looking for isomorphisms —patterns where the same fundamental logic (like feedback loops, diffusion, or optimization) governs entirely different physical substrates. To build a knowledge graph (KG) that actually supports this kind of discovery (rather than just acting as a static encyclopedia), you need to abstract concepts away from their domain-specific jargon. Here is a blueprint for designing, structuring, and using a cross-domain knowledge graph. 1. The Core Ontology: Abstracting the Domains If yo...