Getting Started with OriginTrail Decentralized Knowledge Graph

Welcome to our guide on setting up the OriginTrail Decentralized Knowledge Graph (DKG). This blog post will walk you through the steps needed to get your own DKG node running, complete with troubleshooting tips and insights into the technology. Let’s dive in!

Table of Contents

• About The Project
  • What is the Decentralized Knowledge Graph?
  • The OriginTrail DKG Architecture
  • What is a Knowledge Asset?
• Getting Started
  • Prerequisites
  • Local Network Setup
  • DKG Node Setup
  • Build on DKG
• License
• Contributing
• Social Media

About The Project

What is the Decentralized Knowledge Graph?

The OriginTrail Decentralized Knowledge Graph (DKG) is a sharing platform for global Knowledge Assets, powered by the OriginTrail Decentralized Network (ODN). Think of it as a vast library where knowledge is organized in a way that everyone can access and contribute. Just like a library uses many bookshelves, the DKG uses a combination of blockchains and graph technology to enable trusted AI applications.

The OriginTrail DKG Architecture

The architecture of the OriginTrail DKG consists of three layers:

• **Consensus Layer** – The first layer, where multiple blockchains work together to reach agreements.
• **Knowledge Graph Layer** – The second layer, which stores the data in a decentralized manner.
• **Application Layer** – The third layer, where trusted applications can access and utilize the knowledge.

Similar to how a building has different levels for different purposes, the DKG architecture provides various functionalities for its users.

What is a Knowledge Asset?

Knowledge Assets are like digital keys that unlock specific, verifiable pieces of information. Each Knowledge Asset comes with certain features:

• **Discoverability** – Identifies specific knowledge easily, like a catalog number in a library.
• **Ownership** – Each asset can be owned and traded like art, represented by an NFT.
• **Verifiability** – Ensures the authenticity of information through blockchain.

Discover Knowledge Assets with the DKG Explorer, like browsing a library’s digital catalog.

Getting Started

Prerequisites

• NodeJS 16.x (ideally, 16.16)
• npm = 8.0.0

Local Network Setup

To set up your local environment, follow these steps:

1. Clone the repository:

git clone https://github.com/OriginTrail/ot-node.git

2. Navigate to the directory:

cd ot-node

3. Install dependencies:

npm install

4. Create a `.env` file:

nano .env

5. Paste and save the following content:

NODE_ENV=development\nRPC_ENDPOINT_BC1=http://localhost:8545\nRPC_ENDPOINT_BC2=http://localhost:9545

6. Run the Triple Store:

java -server -Xmx4g -jar blazegraph.jar

7. Execute the local network setup script according to your OS:
• MacOS:

  bash .tools/local-network-setup/setup-macos-environment.sh --nodes=12

• Linux:

  .tools/local-network-setup/setup-linux-environment.sh --nodes=12

DKG Node Setup

To run a DKG node on either the Testnet or Mainnet, refer to the official documentation.

Build on DKG

The OriginTrail SDK libraries allow you to create applications that interact with the OriginTrail DKG. By using these libraries, you can build interfaces for managing Knowledge Assets and executing network queries.

License

This project is distributed under the Apache-2.0 License. See the LICENSE file for more information.

Contributing

Your contributions enrich the open-source community! If you have suggestions, feel free to fork the repository and create a pull request. Here’s how to contribute:

1. Fork the Project
2. Create your Feature Branch
3. Commit your Changes
4. Push to the Branch
5. Open a Pull Request

Social Media

Troubleshooting

If you encounter issues while setting up your DKG node, consider the following solutions:

• Ensure NodeJS and npm are correctly installed and meet the specified versions.
• Check that you have followed each step carefully and consulted the relevant documentation links if needed.
• If problems persist, report a bug directly on the GitHub Issues page.

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At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.