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Our unique ontology enables users to browse Michelin Star restaurants in France based on cuisine type, budget, location, and amenities such as air-conditioning and terraces, making it easy to find suitable options in specific cities like Paris

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srosalino/Michelin_Star_Restaurants_Recommendation_System

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This repository contains the following files:

  1. Report as pdf

  2. A Jupyter Notebook

  3. Turtle file

  4. CSV file

    1. PDF Report:

    It contains the detailed descriptions and the results for the required tasks.

    1. Jupyter Notebook:

    Contains the code for:

      - The data preprocessing and preparation
    
      - SPARQL queries
    
      - Inferencing with SPARQL queries
    
      - Data visualization
    
      - Proper documentation
    
    1. Turtle File:

    It contains the final ontology in detail after the mappings and imports of the reused ontologies:

      - DBPedia
      	- dbo
      	- dbp 
    
      - Schema.org 
    
      - Mappings based on the CSV file
    
    1. CSV File

    Contains the CSV file that based the project's analysis

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Our unique ontology enables users to browse Michelin Star restaurants in France based on cuisine type, budget, location, and amenities such as air-conditioning and terraces, making it easy to find suitable options in specific cities like Paris

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