Learning Path

Structured progression for mastering ontologies and AI integration

This tutorial series follows a structured progression:

Phase 1: Fundamentals

• Introduction to Ontologies
• First-Order Logic
• Quantifiers
  
• LTN
• SWRL Rules

Phase 2: Development Tools

• Protégé Desktop Tutorial
• Python Ontology Libraries
• GraphDB Setup

Phase 3: AI Integration

• Ontologies in LLMs
• Logic Tensor Networks (LTN)
• Pydantic Models & Structured Data
• Semantic Reasoning with LLMs
• Ontology-Guided MOE

Phase 4: Applications

• Multimodal Fusion
• Plant Disease Diagnosis
• End-to-End Implementation
• Evaluation & Benchmarking