Datalog with knowledge graphs as data products in TerminusDB

I have spent 3 years learning the nitty-gritty details of TerminusDB so you don’t have to. I created DFRNT.com as a complete data modeller and logic engine, to enable startup founders and business professionals to create knowledge graphs with advanced information models and logic without having to build an app first.

Example of a knowledge graph for risks connected to a small company (names are made up)

Knowledge graphs enable domain experts to encode their data in a way that resembles the real world, more than traditional relational databases do out of the box. In general, relational databases get very complex very quickly. Most data storage engine make use of one type of language, datalog, that enables users to assert what they want from a data source, and get that back, usually in a tabular format. A good datalog lets the data engine figure out how to get to the data, not the user. Examples of datalog languages include SQL, Cypher, WOQL (TerminusDB), and others.

What is the difference between a hypergraph and a knowledge graph?

Prolog is a great language to implement a datalog engine in, as it allowed any formal logic to be expressed. Building Prolog programs however is extremely complicated, especially…