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Ontologies

An ontology is a shared, explicit definition of the things in a domain and how they relate. For AI systems it is the difference between a model that guesses what a 'customer' is and one that is told. This topic covers what ontologies are, how they differ from taxonomies and schemas, and how to build one that agents and people can both use.

Questions this topic answers

  • 01

    What is the difference between a taxonomy, a schema, a vocabulary, and an ontology?

  • 02

    How much formality does an AI product actually need?

  • 03

    How do you turn domain knowledge into classes, properties, and constraints?

  • 04

    How does an agent consume an ontology at runtime?

Guides on Ontologies

  • OntologiesFeatured

    Ontologies for AI Agents

    How to define the entities, relationships, and rules an agent reasons over, and how to hand that definition to the agent at runtime.

    Reading time
    2 h 10 min read
    Level
    Practitioner
    Price
    $39
  • OntologiesComing soon

    Taxonomies, Vocabularies, and Ontologies

    Choosing the right level of structure for a domain, from a flat controlled vocabulary to a formal ontology, and knowing when to stop.

    Reading time
    1 h 15 min read
    Level
    Foundations
    Price
    $29
Other topicsAI Architecture Knowledge Graphs AI Infrastructure Data Modeling Intelligent Agents