simeonhhristov / recipe-recommender

Rule based system capable of recommending recipes based on ingredient input.

CookBuddy

CookBuddy is a rule based system which suggests it's user recipes they can cook depending on a available ingredients list.

• Ingredients data includes: name, quantity and measuring units
• Recipe data includes: name, required ingredients and directions

System structure

• GraphDB - local NoSQL database representing our data in the form of a graph
• SPARQL - Query language used to retrieve required data from GraphDB
• Node.js server - local server used to receive post requests from the system's front-end, consume the sent data, compose SPARQL queries and use them on our GraphDB database.
• Public folder - Contains a simple html page with javascript used to send requests to our node.js server

Ontology structure

Our ontology is comprised of 4 classes: Ingredient, Container, IngredientBasket, Recipe

• Ingredient - A simple class that only determines the name of an ingredient
• Container - Class that holds certain quantity of a measuringUnit for an Ingredient
• IngredientBasket - Class that contains multiple Containers with Ingredients
• Recipe - Class representing a recipe that requires multiple Containers with Ingredients

Requirements to use the system

node.js GraphDB

Use the system

To use the system you must first start the GraphDB server. (See online documentation)

You must create a new user for your GraphDB server and change the connection credentials in script.js

After that you can use sample_recipes.owl ontology to add some demo data.

Start the node.js server:

$ node script.js

This starts our node.js server on port 3000. It automatically connects to our GraphDB server which by default runs on port 7200.

Open a web browser and type in http://localhost:3000/public/. You can now use the system. 👨‍💻🚀