Introducing EKG – and the Knowledge Graph about Knowledge Graphs

by Stephen Young

Updated June 21, 2022

At FactNexus, we’ve been helping customers provide semantic access to data for some years now - using our GraphBase DBMS and our semantic frameworks. We’ve spent so much time doing this that we’ve decided to make it a focus.

Our new offering is called EKG. It’s an Enterprise Knowledge Graph repository and suite of tools – offered as Software as a Service (SaaS).

We’re excited about EKG – it has functionality that no-one else can offer. A key part of EKG is its English semantic framework. The framework is an ontology of more than 80,000 common concepts that understands more than a million English words. This framework allows a knowledge graph to be built, maintained and queried using conversational English. Anyone can "chat" with their EKG knowledge graph to capture knowledge or get answers.

In the coming weeks, we’ll provide chatbot, web, Slack, Messenger, WhatsApp, Discord, Telegram and MS Teams gateways that let you put EKG through its paces.

For now though, you can get a taste for the power of EKG by visiting KGkg: The Knowledge Graph about Knowledge Graphs. We figured that there was no better way to demonstrate the usefulness of a knowledge graph than by making one that helps to demystify the topic.

Stephen Young is CEO of FactNexus and a knowledge graph and complex data specialist. His lifelong passion for new knowledge technologies comes from his belief that our biggest problems are too complex to solve without artificial help. Steve re-engineered the famous ELIZA chatbot and built his first neural network as a CompSci and Psychology undergraduate and he published a web-based Knowledge graph, with web search and a conversational UI, a full two years before Google.


Microsoft Microsoft makes its virtual graph the centre of its new "Enterprise AI" Copilot.

Copilot connects your words with stored data using this graph, augments those words using knowledge from the graph, sends them to GPT, then checks the result using the graph before sending that result to the user.

This mirrors how we make ChatGPT and GPT-4 results that use your knowledge and data useful and safe.

Learn how to use ChatGPT and GPT-4 with your information