Table of Contents
OriginTrail Decentralized Knowledge Graph (DKG), hosted on the OriginTrail Decentralized Network (ODN) as trusted knowledge infrastructure, is shared global Knowledge Graph of Knowledge Assets. Running on the basis of the permissionless multi-chain OriginTrail protocol, it combines blockchains and knowledge graph technology to enable trusted AI applications based on key W3C standards.
The OriginTrail tech stack is a three layer structure, consisting of the multi-chain consensus layer (OriginTrail layer 1, running on multiple blockchains), the Decentralized Knowledge Graph layer (OriginTrail Layer 2, hosted on the ODN) and Trusted Knowledge applications in the application layer.
Further, the architecture differentiates between the public, replicated knowledge graph shared by all network nodes according to the protocol, and private Knowledge graphs hosted separately by each of the OriginTrail nodes.
Anyone can run an OriginTrail node and become part of the ODN, contributing to the network capacity and hosting the OriginTrail DKG. The OriginTrail node is the ultimate data service for data and knowledge intensive Web3 applications and is used as the key backbone for trusted AI applications (see https://chatdkg.ai)
Knowledge Asset is the new, AI‑ready resource for the Internet
Knowledge Assets are verifiable containers of structured knowledge that live on the OriginTrail DKG and provide:
- Discoverability - UAL is the new URL. Uniform Asset Locators (UALs, based on the W3C Decentralized Identifiers) are a new Web3 knowledge identifier (extensions of the Uniform Resource Locators - URLs) which identify a specific piece of knowledge and make it easy to find and connect with other Knowledge Assets.
- Ownership - NFTs enable ownership. Each Knowledge Asset contains an NFT token that enables ownership, knowledge asset administration and market mechanisms.
- Verifiability - On-chain information origin and verifiable trail. The blockchain tech increases trust, security, transparency, and the traceability of information.
By their nature, Knowledge Assets are semantic resources (following the W3C Semantic Web set of standards), and through their symbolic representations inherently AI ready. See more at https://chatdkg.ai
Discover Knowledge Assets with the DKG Explorer:
Supply Chains |
Construction |
Life sciences and healthcare |
Metaverse |
- NodeJS 16.x (ideally, 16.16)
- npm >= 8.0.0
First, clone the repo:
git clone https://github.com/OriginTrail/ot-node.git
cd ot-nodeInstall dependencies using npm:
npm installCreate the .env file inside the "ot-node" directory:
nano .envand paste the following content inside (save and close):
NODE_ENV=development
RPC_ENDPOINT_BC1=http://localhost:8545
RPC_ENDPOINT_BC2=http://localhost:9545Run the Triple Store.
To use default Triple Store (blazegraph), download the exec file and run it with the following command in the separate process:
java -server -Xmx4g -jar blazegraph.jarThen, depending on the OS, use one of the scripts in order to run the local network with provided number of nodes (minimal amount of nodes should be 12):
MacOS
bash ./tools/local-network-setup/setup-macos-environment.sh --nodes=12Linux
./tools/local-network-setup/setup-linux-environment.sh --nodes=12In order to run a DKG node on the Testnet or Mainnet, please read the official documentation: https://docs.origintrail.io/decentralized-knowledge-graph-layer-2/node-setup-instructions/setup-instructions-dockerless
The OriginTrail SDKs are client libraries for your applications, used to interact and connect with the OriginTrail Decentralized Knowledge Graph. From an architectural standpoint, the SDK libraries are application interfaces into the DKG, enabling you to create and manage Knowledge Assets through your apps, as well as perform network queries (such as search, or SPARQL queries), as illustrated below.
The OriginTrail SDK libraries are being built in various languages by the team and the community, as listed below:
- dkg.js - JavaScript SDK implementation
- dkg.py - Python SDK implementation
Distributed under the Apache-2.0 License. See LICENSE file for more information.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
