ontology.live
THE OPEN ONTOLOGY DATABASE

Find the ontology for your domain.
Make it better. Share it.

An open database of knowledge structures that anyone can contribute to. Find a ready-made ontology, fork it, extend it with your own documents, and share it back so the next person starts further ahead.

Nothing fits yet? Build one from your documents →

In the database

Recently published

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  • JD Creation Taxonomy v3.0

    Ontology-driven job description generation — 8 categories, 42 dimensions, 42 role families. O*NET-aligned.

    hiring · 63 concepts · @ssergienko

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  • Bug Report & Incident Postmortem Ontology

    Models engineering issue-tracking records such as bug tickets and incident postmortems, covering metadata, impact, reproduction or timeline, root cause, and remediation. Used to generate new realistic bug reports and postmortems from a prompt.

    engineering · 28 concepts · @ssergienko

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  • Property Listing Ontology

    Models short-form residential real estate advertisements for sale or rent, covering the property, price and terms, features, location, and agent contact details. Used to generate new realistic listings across markets and transaction types.

    realestate · 30 concepts · @ssergienko

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  • Recipe Ontology

    Models cooking recipe documents, with a title, metadata, ingredient list, method steps and optional advice. Used to generate new recipes of varying cuisine, diet, difficulty and structure from a prompt.

    culinary · 30 concepts · @ssergienko

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  • Customer Support Ticket Ontology

    Models customer support tickets/cases (email, chat, etc.) including metadata, customer context, issue classification, interaction timeline, resolution and metrics. Used to generate realistic synthetic support tickets across products, channels and outcomes.

    support · 34 concepts · @ssergienko

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  • E-commerce Product Listing Ontology

    Models structured online retail product detail page text (title, pricing, availability, features, specifications, variants, policies). Used to generate new realistic product listings across categories from a short prompt.

    retail · 30 concepts · @ssergienko

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How it works

Don’t start from a blank page. Start from the best one so far.

  1. 01

    Find

    Search the database for your domain. Each ontology is a reusable map of the concepts in that domain and how they relate.

  2. 02

    Fork

    Copy it into your account in one click and make it yours. The original author is credited automatically.

  3. 03

    Extend with your data

    Drop in a few of your own documents and AI adds what’s missing. Documents are deleted afterwards, and personal data is never stored.

  4. 04

    Share it back

    Publish your version under CC BY 4.0 so the next person can find it, fork it and take it further.

Why an open database

One shared map beats a thousand private ones

Built by people who know the domain

A compliance officer’s map of a policy beats any generic template. Every fork adds someone’s expertise.

Credit travels with the work

Every fork links back to its source, and authors can see how far their work has spread.

Free and open

Public ontologies are CC BY 4.0: use them anywhere, including commercially, as long as you credit the author.

No personal data, ever

Names, emails, phone numbers and IDs are replaced with made-up values before anything is saved.

For AI builders

The structure your agents and RAG need

Export as JSON or YAML

Feed the structure straight into agent pipelines, RAG systems and classifiers.

Test it with your prompts

Run a prompt through the ontology and see how each concept shapes the answer.

Edit visually

Rearrange concepts and relationships on a canvas; no schema language to learn.

What does your domain look like?

Search the database, or be the first to map it.