In the late 1990s and early 2000s, web search arrived with massive promise. Before Google standardized search, we had directory trees and early search boxes like AltaVista. Back then, finding the right document was an exercise in “type-and-pray.”
If you didn’t guess the exact keyword the author used, you got zero results or endless noise.
Today, we are watching enterprise teams make the exact same mistake with Large Language Models.
When developers and domain experts interact with LLMs without controlled vocabularies or application profiles, they rely on ad-hoc prompt engineering.
The result?
Inconsistent output, hallucinated sources, and zero reproducibility.
Busch’s Golden Rule: Four metadata-controlled vocabularies of 10 values each have the same discriminatory power as one taxonomy of 10,000 values.
You do not need bigger prompts; you need structured language.
Joseph Busch
P.S. We’ve guided institutions through every major information shift over the last three decades. If your team is struggling to make generative AI reliable, let’s schedule a Knowledge Organization System (KOS) workshop for your enterprise data team.
#Metadata #KnowledgeManagement #GenerativeAI #SemanticWeb #Taxonomy