🥗 Healthy Recipe Recommender Ontology

An intelligent, ontology-based system that recommends personalized recipes based on user health profiles using OWL 2.0, Protégé, and DL Queries.

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📘 Project Overview

This project is part of my MSc in Computer Science & Technology at Ulster University, UK. It focuses on applying Knowledge Representation and Reasoning (KRR) to solve a real-world challenge: providing smart, health-focused recipe recommendations.

Rather than using a simple filtering system, this project leverages ontologies, semantic relationships, and DL Queries to infer suitable recipes for users with conditions like diabetes, dietary restrictions (e.g., vegan, gluten-free), or seasonal preferences.

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🧠 Key Features

• 📊 Personalized Recipe Reasoning using Description Logic (DL) queries
• 🧩 Ontology built in Protégé using OWL 2.0
• 🍎 Semantic links between:
  • Recipes
  • Ingredients & Nutrients
  • Dietary Restrictions
  • Cooking Methods
  • Meal Types & Cuisines
• ⚖️ Logical constructs: equivalence, restrictions, transitive and symmetric properties

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🛠️ Tools & Technologies

Here’s a breakdown of the key tools, frameworks, and technologies used in this project:

Category	Tools & Technologies
🧠 Ontology Modeling	Protégé
📘 Language Format	OWL 2.0 (Web Ontology Language)
🔍 Reasoning Engine	🧠 DL Queries (Description Logic), 📐 Prolog (explored for rule-based logic)
📑 Documentation	📝 Markdown, 📄 PDF (Research Paper)
🔧 Version Control

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💡 Real-World Use Cases

This ontology-based system can be applied across multiple domains that require intelligent, personalized food and health recommendations:

🍽️ Smart Meal Planning Apps

Suggest personalized recipes based on health conditions (e.g., diabetes, heart disease), dietary preferences, or nutrient goals.

🏥 Clinical Decision Support

Help dietitians and healthcare providers recommend suitable meals for patients with specific medical or nutritional needs.

🤖 AI-Powered Wellness Chatbots

Integrate into chatbots to answer questions like “What can I eat with high blood pressure?” or “Suggest a vegan, high-protein dinner.”

📱 Nutrition-Focused Mobile Apps

Enable mobile health apps to go beyond filters by using semantic reasoning to tailor recommendations intelligently.

🧑‍🍳 Dynamic Restaurant Menus

Restaurants can offer curated menus for customers with allergies, food intolerances, or lifestyle preferences (e.g., keto, vegan, gluten-free).

🧠 Semantic AI Agents

Power intelligent agents that reason over food, health, and diet-related knowledge using ontologies and DL logic instead of flat databases.

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🗂️ Project Structure

healthy-recipe-ontology/
├── README.md                
├── ontology/
│   ├── Healthy_Recipe_Recommender_Updated.owl    # (Protégé/OWL)
│   └── DLQueries.txt        # List of DL queries for reasoning
├── docs/
│   └── Healthy_Recipe_Recommender_Ontology_Report.pdf   # Full academic paper
    └── Healthy_Recipe_Recommender_Ontology_Report.docx
├── screenshots/    # Protégé hierarchy or query view
│   └── 2.png     
    └── 3.png
    └── 4.png     
    └── 5.png
    └── 6.png
    └── 7.png     
    └── 8.png
    └── 9.png
    └── 10.png    
    └── 11.png
    └── 12.png
    └── 13.png     
    └── 14.png
    └── 15.png
    └── 16.png    
    └── 17.png
    └── 18.png
    └── classes and subclasses.png     # Protégé hierarchy or query view
└── End