Why I Use Emacs for Ontologies (and How to Memorize a HUGE Knowledge Graph) [AMA #1]

Why would an Ontology Engineer skip tools like Protege and TopBraid Composer and stick with a 'plain' text editor like Emacs? And how do you manage a complex knowledge graph with thousands of classes and properties without relying on memory alone? Those were two great questions from FredBlok4308, and I'm answering them in this video.

I dive into my personal workflow, explaining the history and practical reasons for choosing a text-based approach (hint: it's a historical happy accident that was supported by it being fun, fully customizable, and better than the other options I tried). I also reveal the secret to taming graph complexity, which involves good modular design, the "use it or lose it" principle, and leveraging SPARQL queries to serve as your method for learning the vocabula. Whether you're a Semantic Web veteran or just starting with knowledge graphs, this covers the critical strategies for scaling your data modeling efforts.