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Ontologies

Capture your ground truth

An ontology captures what your business means, its concepts, entities, relationships and rules, in one governed model that people, applications and agents all read the same way. Built on the open standards we helped author, so you own it and it travels wherever your data goes.

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What it is

A shared, machine-readable model of meaning

Rows in a table don't tell you what your data means. An ontology adds that missing layer, the concepts, relationships and rules, so people, applications and agents all read it the same way.

  • One shared vocabulary

    Define what "customer," "product," or "risk" means once. Every team and system inherits it.

  • Machine-readable

    Built on RDF, OWL and SKOS, so agents reason over meaning instead of column names.

  • Reusable

    Start from proven, prebuilt models and extend them. Never from a blank page.

flat dataconnected meaning

Open standards keep your ground truth yours. We know, we wrote them.

RDF, OWL, SKOS and SHACL, the open W3C standards the semantic web is built on. Our team helped author them. Nobody has been building governed ontologies longer.

Open standards

Authored by our team at the W3C

Your models are built on the open standards we helped write. Portable by design, no proprietary format, no lock-in.

RDFResource Description FrameworkOWLWeb Ontology LanguageThe canonical text

We wrote the book on it

Semantic Web for the Working Ontologist, the field’s standard textbook, written by our team.

Explore the book →SKOSSimple Knowledge Organization SystemSHACLShapes Constraint Language
1st

US company devoted to the semantic web

300+

prebuilt, reusable ontologies

30

modeling forms and languages, from slides to code

Nothing is ground truth until your experts say so

AI can propose definitions, relationships and rules. None of it becomes ground truth until the people accountable for it agree. Every fact in your context carries its review trail: who proposed it, who approved it, and when.

The only difference between a fact that is interesting and authoritative is that at minimum, 2 humans agreed that it was true.
CIO · $310B pharmaceutical company

Explore an ontology by domain

Concepts, connected by the relationships that give them meaning. Pick a domain to see how it's modeled.

Finance

A counterparty holds an instrument, priced in a currency, and a rule flags exposure over the limit.

  1. 01

    Kept on the rails

    Rules and workflows keep every definition accurate and up to date as your data, teams, and environment change: reviewed, versioned, and enforced across the enterprise.

  2. 02

    No-code modeling

    Build and maintain models with AI assistance and a no-code UI, no hand-writing triples.

  3. 03

    Activated into AI

    Push shared meaning into search, catalogs, and agents so everything reads your data consistently.

Not just a source of truth

Your ground truth, governed and protected

An ontology for its own sake isn't enough. TQ makes it a governed source of truth: rules and workflows keep it accurate as your data, organization, and environment change, then activate that shared meaning into every app and agent. That's the gap we close.

Jump-start with the standards your industry already uses

Load a proven, standards-based ontology your field already runs on: FIBO, SKOS, Schema.org, and industry models, then extend and adapt it to your business. No modeling meaning from a blank page.

Browse the resource hub →

FIBO

The Financial Industry Business Ontology: entities, instruments, and relationships for finance.

Schema.org

The web's shared vocabulary for describing content, products, and organizations.

SKOS

The W3C standard for taxonomies, thesauri, and controlled vocabularies.

Dublin Core

A foundational metadata vocabulary for describing any resource.

Industry models

Reference ontologies for life sciences, manufacturing, media, and government.

Your own

Model your organization's unique concepts with AI assistance and a no-code UI.