GraphPath Launches the GraphOS Protocol and GraphOS Consortium to put Knowledge Graphs on the Blockchain

MIAMI, May 15, 2018 /PRNewswire/ -- GraphPath (, creators of the Knowledge Graph-as-a-service (KGaaS) solution that allows organizations to evolve from Big Data to Big Knowledge, today unveiled GraphOS (, the world's first decentralized operating system for Knowledge Graphs on the blockchain.

GraphOS will facilitate the creation, collaboration and sharing of Knowledge Assets among network participants and seamlessly integrate Knowledge Graphs in a safe, secure and transparent manner.  The GraphOS network will be powered by the GraphOS Protocol, which will provide a mechanism for defining and exchanging Knowledge Assets.  Knowledge Assets can include any component and specifications of a Knowledge Graph system, such as data, code, ownership and governance details, asset description (i.e. data, code, ontology, algorithms, etc.), and licensing details, among others. 

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GraphPath plans to combine Knowledge Graphs with the blockchain

Last year I covered the launch of GraphPath, a new startup that had developed a platform that aimed to “insert AI into global corporates” by making it easy to create and manage so-called Knowledge Graphs with its “Knowledge Graph-as-a-Service” technology.

Knowledge Graphs are essentially a way to organize data in an endless network of facts and relationships. It’s similar to Facebook’s ‘social graph’ (which contains highly descriptive data about how people are connected) but instead is about how knowledge is connected. In theory, you could use blockchain to create a knowledge graph, and in fact, that’s what the company claims to have now done. Google’s Knowledge Graph powers its search functions, and according to the company contains over 70 billion facts. Read More >

GraphPath Announces GraphOS and the GraphOS Consortium

At GraphPath we believe that every enterprise, government institution or business entity that generates rich datasets via its interactions with customers, employees or supply chain partners (i.e. has a network of clients, visitors, IoT devices, etc.) must develop a proprietary Knowledge Graph in order to have a unified and comprehensive view of its business. 

This is what is generally referred to as an “Enterprise Knowledge Graph”, and should include within it as much contextual information as possible in order to better understand how the organization, its customers, stakeholders, and the world itself, relate to each other. In practice, this is easier said than done given the technical complexities and budget required to build and maintain a large Knowledge Graph. Read More >

knowledge graph as a service

There is no shortage of AI and machine learning startups being born today. But one of the biggest opportunities remains in turning AI into some kind of platform that others can leverage, especially businesses.

In recent years a new area has been developed in relation what’s know in the tech industry as knowledge graphs, a concept which been around for quite some time, especially in relation to the semantic web. But until recently there has not been much of an attempt to democratizing the development and management of knowledge graphs. Read More