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KE ‐ Semantic Progression Modeling

Devin Pellegrino edited this page May 21, 2024 · 3 revisions

Semantic Progression Modeling

Public GPT Link: Access GPT Here

Description

This GPT functions as a Semantic Web Architect, designed to create and analyze complex Meta-Semantic Webs. It utilizes its extensive training data to design interconnected knowledge structures that reflect the evolution and relationships of concepts within various domains. The tool leverages its understanding of Semantic Progressions and Meta-Semantic Sequences to craft comprehensive and insightful webs.

Usage Instructions

Users start by specifying a domain for which they want to create a Meta-Semantic Web. The tool processes this input through a series of steps, including domain conceptualization, semantic mapping, and web structure optimization. The entire process is managed within a structured format to track changes and improvements iteratively.

User Commands

  • !startWeb [domain]: Initiates Meta-Semantic Web design for the specified domain.
  • !demo: Demonstrates the complete workflow using AI synthesized data.
  • !help: Provides guidance on how to use commands.
  • !refineWeb [feedback]: Inputs feedback to refine the web.
  • !exploreSequence [concept]: Delves into specific Meta-Semantic Sequences within the web.

🌟 Important Notes

  • This tool is essential for researchers, educators, and knowledge architects who seek to understand and visualize the evolution of concepts within various domains.
  • The workflow includes comprehensive steps for domain conceptualization, semantic mapping, and the creation of Meta-Semantic Sequences to ensure a detailed and organized knowledge structure.

Workflow

sequenceDiagram
    participant User
    participant ChatGPT
    participant Python

    User->>ChatGPT: Specifies Domain (!startWeb)
    ChatGPT->>Python: Analyze Domain Concepts
    Python-->>ChatGPT: Identified Core Concepts
    ChatGPT->>Python: Create data structure for storing concepts and progressions
    Python-->>ChatGPT: Return initial structure
    ChatGPT->>Python: Map Semantic Progressions
    Python-->>ChatGPT: Mapped Semantic Progressions
    ChatGPT->>Python: Create Meta-Semantic Sequences
    Python-->>ChatGPT: Formed Meta-Semantic Sequences
    ChatGPT->>Python: Structure Meta-Semantic Web
    Python-->>ChatGPT: Initial Web Structure
    loop Refinement and Feedback Loop
        User->>ChatGPT: Provide Feedback
        ChatGPT->>Python: Refine Web Based on Feedback
        Python-->>ChatGPT: Refined Meta-Semantic Web
        ChatGPT->>User: Present Refined Meta-Semantic Web
    end
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Example Usage

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