Knowledge-Centered AI Begins Here: From Audience Signal to Searchable Semantic Knowledge

Knowledge-Centered AI Begins Here: From Audience Signal to Searchable Semantic Knowledge

This video introduces the central direction of my work: Knowledge-Centered AI.

Knowledge-Centered AI is my approach to transforming data, text, audience signals, research outputs, and human experience into structured, searchable, interpretable, and meaningful knowledge.

This first video begins from audience signals and shows how meaning can be organized into searchable semantic knowledge.

The core idea is:

Data becomes structure.
Structure becomes knowledge.
Knowledge becomes searchable, interpretable, and meaningful.

This video serves as the starting point for my broader Knowledge-Centered AI / Meaning-Centered AI project.

It connects to several directions in my work:

1. Audience Meaning
How comments, reactions, and public signals can become evidence for semantic interpretation.

2. Text and Research Analysis
How scholarly text, Web of Science records, and research outputs can be transformed through text analysis, topic modeling, and semantic visualization.

3. Searchable Knowledge
How AI can help organize complex information into retrievable, interpretable, and reusable knowledge structures.

4. Human–AI Collaboration
How AI can support conceptual articulation, visual synthesis, reflection, and knowledge formation without replacing human thinking.

This video is also the first step in the playlist:

Start Here: Knowledge-Centered AI

The next video, AI for Identity Genesis, extends this direction from searchable knowledge into human growth, meaning-making, reflection, and identity development.

Together, these videos introduce the broader direction of my work:

Knowledge-Centered AI
→ Meaning-Centered AI
→ Searchable Semantic Knowledge
→ Reflective Human–AI Collaboration

Human–AI Collaboration Note

This project has been developed through ongoing collaboration between me and ChatGPT.

AI was used not to replace human thinking, but to support conceptual articulation, semantic organization, visual synthesis, and reflective knowledge formation.

AI collaborator: ChatGPT
Model: GPT-5.5 Thinking
Project direction: Knowledge-Centered AI / Meaning-Centered AI

#KnowledgeCenteredAI #MeaningCenteredAI #SearchableKnowledge #SemanticVisualization #AudienceMeaning #HumanAI #TextAnalysis #TopicModeling #RStats #ReflectiveAI

Видео Knowledge-Centered AI Begins Here: From Audience Signal to Searchable Semantic Knowledge канала KCAI Hyeonmee Oh | 오현미