From Prompts to Precision: Automating Meaning through Ontologies
This presentation demonstrates how a structured prompt methodology can bridge the information architecture gap between human understanding, machine interpretation, and automation. By automating the creation of semantic relationships within a flexible framework, we can focus on enhancing both the creator and consumer’s experience. This methodology ensures that AI-generated semantics are precise and meaningful. Simultaneously, it enhances the end-user experience by making information more accessible and searchable. This methodology highlights the importance of humans guiding technology to achieve robust and integrated content architecture systems.
