r/OntologyEngineering

Hey everyone,

A lot of introductory material on RDF and Turtle syntax is either strictly academic or jumps straight into heavy tooling without explaining the underlying domain modeling mindset.

I put together a free guide aimed at newcomers: Ontology and Turtle for Beginners. It covers:

• How ontologies define shared meaning across scattered enterprise data
• The core mental model behind RDF triples and practical Turtle notation
• Foundations for moving toward knowledge graphs, digital twins, and reasoning engines

You can view the page and download the PDF directly here:

https://www.swatantra.ai/resource-ontology-turtle.html

Would love to get your thoughts, constructive feedback, or hear how your teams introduce semantic concepts to non-experts!

I’ve my opinions but wanted community take .

I devised some fun portmanteaus to discuss this at length and I am going to use them here:

Genie ontology (I'm calling it genealogy).

Palantir ontology (I'm calling it paleontology).

Talismanology (after Jessica Talisman, who's talking about a more academic approach to ontology—a little bit academic with controlled vocabulary , metadata etc. The whole ontology pipeline, you can look it up.)

I just remembered this article from years ago that made me laugh a lot and left an impression on me. There's nothing about engineering in here, but since a lot of people struggle with even understanding what ontology is, this could be a good accessible way to get your head around it. Maybe. I don't know, you tell me

And want to confirm it's on the right track

Hi everyone,

I have an idea for a personal project and want to confirm it's on the right track.

I don't want to build just another note-taking app or mind map. I want to build a knowledge graph where I can enter any word or concept, and the system automatically knows where it belongs.

My goal is to build a personal knowledge system that becomes smarter over time, rather than just storing notes.

For example:

- If I enter a new word, it should suggest the best place in the graph.

- If that word belongs in multiple places, it should connect it to all of them.

- If a new concept should come between two existing concepts, it should reorganise the graph instead of just adding another node.

- It should detect duplicates and synonyms.

- It should explain *why* it placed a concept there.

- If it isn't confident, it should ask me instead of guessing.

- It should also ask if I want to expand that concept further and generate the next level of the graph.

I'm building this only for myself, not as a commercial product, but I want to build it with commercial-level reliability.

While thinking about this, I came across topics like **knowledge graphs**, **ontology engineering**, and **semantic search**, and now I realise that the hardest part is probably designing the ontology, not writing the code.

I have a few questions:

- Has anyone built something similar, and what should I study before I go too far?

- What are the biggest challenges in building a system like this?

- How do companies like Google or researchers design and improve ontologies?

- If you were starting from scratch, what would you learn first?

- Are there any books, papers, courses, or open-source projects that you think are must-reads for this?

- Also, if you were designing this today, what architecture or tech stack would you choose?

I'm still learning, so even if you think my idea has flaws, I'd really appreciate honest feedback. I'd rather know what's difficult now than after spending months building it.

Thanks!