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intuition

Informations 🚀​

This project aims to contribute to Intuition, a platform for creating and linking information on the RDF model.

The team consists of Sacha Godel, Maxime Lodato, Thibault Lenormand, Alexandre Tedesco, and Thomas Bobichon, they were advised by Jeremie Olivier (Zet)

Key Concepts​

Get a deep dive into the Intuition protocol and its core concepts, by listening at this podcast :

TL;DR​

  • Intuition: A trust protocol, world’s first open and semantic knowledge graph, decoupling identities, data, and algorithms from the application layer. Learn more about Intuition

  • Atoms: Basic unit of information in the Intuition protocol.

  • Triples: Links between Atoms, forming a subject-predicate-object (RDF) relationship.

  • Nested Triples: Linking Triples to each other to create more complex relationships.

  • RDF model: A standard for data interchange on the Web.

  • Base Blockchain: A blockchain used by Intuition for data immutability.

Our Project: Hacking around Intuition 👨‍💻👩‍💻​

  • The project involves creating Atoms, which are units of information, and linking them using Triples.
  • A Triple consists of a subject, a predicate, and an object, e.g., (Elon Musk) - (is CEO of) - (Tesla).
  • Intuition uses the Base Blockchain for data immutability and accessibility.
  • The team focused on nested Triples relationships.
    • For example: (Sacha – has completed –(Fullstack (spring- 2024 – session) (of- THP- Bootcamp)).
    • This creates deeper connections and carries more semantic information.
  • The project also involves creating a recommendation DApp.

Components 🛠​

  • 1. Mock Rails API 🛡️
    • Provides database seeds for a school, its students, and their relations.
    • Has an API to show a graph and visualize data.
    • Generates CSV files for Intuition's Data Populator.
    • Features a console to create new Triples for faster testing.
  • 2. Intuition Graph (React) 📈
    • Visualizes Intuition data using either the Rails Mock API or Intuition's SubGraph.
    • Allows experimentation by changing the main node.
    • Supports 2D and 3D views.
  • 3. Assistant 🤖
    • User seeking recommendation: Fills a text field with details, creates an attestation, and sends it for validation.
    • User giving recommendation: Validates another user's request and delivers the recommendation.
    • Utilizes an AI assistant to create meaningful recommendations by combining Triples, with other students validating claims.

Objectives 🎯​

  • Nested Triples Relationships Experimentations:

    • Make Triples related to each other to create deeper connections.

  • Create a Recommendation DApp:

    • Allow users to create claims about themselves.

    • Enable users to ask for recommendations based on their interests.

    • Allow users to give recommendations and endorsements.

    • Add a view to the Mock API to quickly add new Triples.

    • Allow the Graph visualization to switch between the Rails API and the Intuition API.

    • Generate a CSV file from the mocked data.

Create a Recommendation DApp​

  • Develop an easy-to-use DApp for creating claims, asking for recommendations, and making endorsements.

Project Impact 📦​

  • All project components are Open Source under the THP Lab GitHub.
  • Aims to help others create and own their data.
  • Specific application for The Hacking Project (THP):
    • A way to deliver attestations to students, validating their skills.
    • Other students and collaborators can validate claims.
    • Enhance student profiles and boost their employability.