This article is about using the graph in-memory from the build-in part II. In this article, I will show how to extract the graph’s information using a template engine. Eventually, we will build a documentation webserver that looks like schema.org.

This article is about parsing and extracting the knowledge from a triplestore to create a graph in-memory in Go.

This is the first article about the concept of ontology. In this article, we introduce some ideas about semantic. From a set of definitions, we move to the notion of a knowledge graph. Then we show how triples and the turtle language can help setting up a schema and to represent knowledge

This article is about coupling in IT; divide et impera - divide and conquer

In this article, I explain how to build a tool to detect faces in a picture. This article is a sort of how-to design and implements a tool by using a neural network. For the design part, I describe how to: build the business model thanks to a neural network; adapt the network to the specific domain of face detection by changing its knowledge; use the resulting domain with a go-based infrastructure; code a little application in Go to communicate with the outside world.