Ontology
- Pages
- 3
- References
- 3
- Related Terms
- 7
Definition
An ontology is an explicit model of concepts, relationships, properties, and constraints for a domain of meaning.
Background
In philosophy, ontology belongs to metaphysics. In information science, it became a knowledge-representation practice for shared domain models, Semantic Web vocabularies, and machine-readable semantics.
Position
It is the organizing concept behind Knowledge Graphs, RDF, OWL, and enterprise semantic models. The important move is from isolated terms to relationships, constraints, and inferable structure.
Distinctions
- Philosophical ontology asks what exists; information-science ontology models a domain for representation and reasoning.
- A glossary explains terms, while an ontology also specifies relationships, constraints, and identity rules.
Primary source-backed reference selected for this concept.
Sources
- Ontology Development 101 Paper
- OWL 2 Web Ontology Language Overview Standard
- Metaphysics, Stanford Encyclopedia of Philosophy Reference
Page Context
- AI/LLM/Ontology/Organizational Memory
1. Executive Summary Rather than being a "knowledgeable entity," modern LLMs are probabilistic pattern generators that learn from large volumes of language, code, images, and be...
Quote: AI/LLM/Ontology/Organizational Memory ai-systems
- Basics of ontology concepts and practical application
Fundamentals of ontology concepts and practical application 1. Executive Summary The meaning of ontology changes depending on the context. In philosophy, it is a field that asks...
Quote: Basics of ontology concepts and practical application knowledge-systems
- Palantir: The deep structure of the Operational AI Platform
1. Executive Summary Palantir is not just an analytics tools company or an LLM app company. The core is an "operational AI platform" that bundles corporate and government data, ...
Quote: Palantir: The deep structure of the Operational AI Platform enterprise-ai-platforms
Pages
- AI/LLM/Ontology/Organizational Memory
An integrated report that connects the history of AI research, LLM, symbolic grounding, Ontology, Graphiti, and MCP to practical decisions for utilizing organizational knowledge.
ai-systems
- Basics of ontology concepts and practical application
A basic report that organizes philosophical ontology, knowledge representation, Semantic Web standards, knowledge graphs, and operational ontology in business AI.
knowledge-systems
- Palantir: The deep structure of the Operational AI Platform
A research report that reads Foundry, Ontology, AIP, and Apollo as operational AI platforms that include organizational decision-making and auditing.
enterprise-ai-platforms