OriginTrail A.K.A TRAC
OriginTrail is an accessible protocol for the exchange of trusted data and assets. Based on widely known standards and sophisticated graph data structures, the OriginTrail Decentralized Network (ODN) is focused on data consistency and validation in inter-organizational situations. OriginTrail uses a Decentralized Knowledge Graph (DKG), a permissionless decentralized system of more than 1000 nodes that maintains a decentralized graph database, to enable end-to-end transparency. OriginTrail DKG is used to manage data and assets in the context of tokenomics. It is the ideal middle ground for delivering the necessary interoperability and interconnection of data from many sources in order to activate global, cooperative, and trusted data.
What is Origintrail DKG?
Decentralized Knowledge Graph (DKG) by OriginTrail is an open, collaborative network that combines blockchain and information graph technology. The OriginTrail node, which is at the heart of the network, is the definitive communication system for your Web3 apps. The OriginTrail DKG is a strong Web3 backend, and when used in conjunction with the DKG SDK, you can construct graph-native Web3 applications that interact with verifiable DKG assets.
OriginTrail connects to various blockchains, including Ethereum, Polkadot, Polygon, Gnosis, and others that will be added in the future. The TRAC token, which is used to govern relationships between DKG network participants, powers it. Running an OriginTrail node also counts you as a contributor to the DKG’s hosting and qualifies you for TRAC coin incentives.
Why are Blockchain and Knowledge Graphs being combined?
Knowledge graphs and blockchains are two types of networks:
- Blockchains are networks of trust. They are based on decentralized stateful protocols that allow for a verifiable shared state and are used for apps such as decentralized authenticity, resource tokenization (NFTs), decentralized fund, trusted multi-party computation, and so on.
- Semantic networks are knowledge graphs. When Google first invented the term “knowledge graph,” it was explained as “things, not strings.” Knowledge Graphs link highly structured, machine-understandable semantic entities into a single semantic data connection, enabling powerful data capabilities like search, implication, recommendations, advanced machine learning, and others. Knowledge graphs are based on the Semantic Web’s technology stack concept.
Origintrail DKG V6 awaited launch
So far, the OriginTrail ecosystem technology components have helped win pertinent data for international trade for some of the biggest companies and countries, contributing to safer and more trusted global supply chains. The Total Graph Size of the OriginTrail Decentralized Knowledge Graph (DKG) has surpassed initial expectations, reaching 180 million TGS. However, this is only the beginning. We expect the DKG to grow at a faster rate as more demand for OriginTrail’s value propositions is expressed, making a contribution to how both companies and individuals grow the worth of any resources through network effects.
The release of V6 DKG and OriginTrail’s own blockchain surface on Polkadot creates a fundamental change for the OriginTrail ecosystem, as both existing DKG solutions and new ones to be released gain orders of magnitude scalability. Most pertinently, the V6 DKG converts data into assets that are discoverable, verifiable, and important across Web3. OriginTrail v6 accomplishes this paradigm shift, analogous to URLs, by incorporating unique global asset signifiers — Universal Asset Locators (UAL) — as the consumer type of Web3 URLs for any asset, physical or digital. This allows more users than ever before to publish, claim, and preserve an Internet of funds, all while increasing their independence in the thriving ownership economy. If Google enabled us to explore the world, OriginTrail will allow us to discover, verify, and boost the value of almost any asset we own.
OriginTrail v6 will be released in three stages, by launching the DKG V6 in August the ‘Google For Web3’ moving from Turing to Metcalfe phase.