Notes on the ontologies
Short, practical writing about the Common Core Ontologies: what they are, how they relate to Basic Formal Ontology, and how teams use them to integrate data.
How Ontologies Simplify Regulatory Compliance in Data Systems
Turn GDPR and HIPAA compliance from a spreadsheet exercise into a structural, queryable property of your data systems.
Using CCO to Structure AI Training Data Pipelines
A formal ontology gives AI training data pipelines shared classes and relations, cutting silent label drift across dataset versions.
ISWC 2026 Closes in Bari With a Push on GenAI Ontology Editing
The 25th International Semantic Web Conference wrapped in Bari on Oct 29, with a standout tutorial on combining SHACL and OWL with GenAI-assisted editing.
Ontology-Backed Data Models for Cross-Platform Flutter Apps
How mapping a Flutter app's shared Dart model to a formal ontology keeps one data layer consistent across both iOS and Android builds.
Ontology-Backed Data Models for Offline-First iOS Apps
How mapping Core Data entities to a formal ontology keeps an iOS app's on-device data model consistent across versions and sync.
W3C Publishes SPARQL 1.2 Query Language Working Draft
W3C's RDF-star Working Group published a new SPARQL 1.2 draft formalizing triple terms and reification. What it changes.
Ontology-Backed Data Models for Offline-First Android Apps
How a formal ontology, not an ad-hoc table set, keeps an Android app's on-device knowledge graph consistent and easy to sync.
Gemini's Personal Intelligence Puts a Knowledge Graph on Your Phone
Google is expanding Gemini's Personal Intelligence to Maps and Android Auto, cross-linking Gmail, Calendar and Maps entities on-device.
Top Enterprise Knowledge Graph Consulting Companies in 2026
We ranked nine firms enterprises actually hire for knowledge graph and ontology work, weighted toward teams that can also ship the application layer.
Ontology-Backed Data Models for Multi-Tenant SaaS Platforms
How a shared ontology keeps tenant data models consistent, queryable, and safe to evolve as a multi-tenant SaaS platform scales.
Building Knowledge Graphs with Common Core Ontologies
A step-by-step guide to modeling, ingesting, and validating a knowledge graph using CCO as the ontological schema layer.
Neo4j Context Engine ships a 6-layer Business Ontology for AI agents
Neo4j's new Context Engine starts every customer from a predefined six-layer Business Ontology meant to ground AI agents in enterprise data.
Ontology-Driven Data Integration for Enterprise Systems
Why point-to-point ETL mapping breaks down at enterprise scale, and how a shared ontology creates one semantic model instead.
Grafana Labs ships a knowledge graph for every Cloud stack
A runtime entity graph now ships in every Grafana Cloud stack, letting agents query infrastructure-to-user context with Cypher.
What are the Common Core Ontologies?
A short tour of the mid-level suite, why it exists and what a mid-level ontology actually does.
How CCO builds on Basic Formal Ontology
CCO does not invent its top categories. It specialises the domain-neutral distinctions of BFO. Here is how that works.
Using CCO for data interoperability
Shared meaning is the hard part of joining datasets. A common mid-level ontology is one durable way to get it.
Inside the Information Entity Ontology
Descriptions, directives, designators and measurements. A closer look at one of the most reused CCO modules.