If you’re working with knowledge graphs, one term that keeps popping up is ontology. Sounds academic, right? Like something you’d find buried in a philosophy textbook. But in the world of AI, data science, and search engines, an ontology is far from abstract — it’s the blueprint that gives your knowledge graph meaning. Let’s break it down and explore how it all fits together. 🧠 What Is an Ontology (in AI)? In the simplest terms: ...
We hear the term knowledge graph everywhere now — from Google Search to enterprise AI to GenAI apps. But what exactly is a knowledge graph, and why is everyone suddenly obsessed with it? In this post, I’ll break down knowledge graphs in plain language: what they are, how they work, and how I use them in my own projects. 🧱 The Basics: What Is a Knowledge Graph? At its core, a knowledge graph is a network of real-world entities (people, places, things) and the relationships between them. It’s how machines can represent, understand, and reason about the world — kind of like a human brain, but for structured data. ...