Neurosymbolic V-MOE Ontology Studies

Bridging Symbolic AI and Neural Networks through Ontological Knowledge Representation

Welcome to NeuroSymbolic V-MOE Studies

This comprehensive resource explores the intersection of symbolic knowledge representation and modern AI, with a focus on:

  • Ontology Engineering - Building structured knowledge bases
  • First-Order Logic - Formal reasoning foundations
  • Quantified Reasoning - Expressing complex relationships
  • AI Integration - Combining ontologies with neural networks
  • Practical Applications - Real-world implementations

Quick Start

  1. New to Ontologies? Begin with Fundamentals
  2. Explore Development Tools - Protégé and Python
  3. Dive into AI Integration - LLMs & Ontologies
  4. See Applications - Plant Disease Diagnosis

Learning Path

Follow our structured Learning Path for a guided journey through:

  1. Fundamentals - Core concepts and theory
  2. Development Tools - Practical implementation
  3. AI Integration - Advanced applications
  4. Real-World Applications - Case studies and examples
This is an active research project. Content is regularly updated with the latest developments.