Tagged articles

ontology-driven governance

3 articles · Page 1 of 1

Aug 16, 2026 · Big Data

Ontology-Driven Data Governance: 8 Steps to Connect 4A from Business Scenarios to Feedback

This article presents an eight-step methodology for ontology-driven data governance that connects business, data, application, and technology architectures (4A) by starting from high-value business scenarios, establishing semantic kernels, mapping data evidence, linking application actions, referencing technical constraints, enforcing semantic quality, publishing usable semantic products, and closing the loop with operational feedback.

4A architectureAgentData Governance

0 likes · 12 min read

Ontology-Driven Data Governance: 8 Steps to Connect 4A from Business Scenarios to Feedback

Data Bricklaying Diary

Jul 24, 2026 · Artificial Intelligence

Ontology-Driven Governance: Building AI-Ready Datasets from Business Semantics

The article explains how ontology-driven data governance establishes unified business semantics, which are then transformed into high-quality, task-specific datasets for AI training, RAG, and agents, with continuous feedback loops updating both semantic models and data products.

AI data supplybusiness semanticsdata quality

0 likes · 11 min read

Ontology-Driven Governance: Building AI-Ready Datasets from Business Semantics

Data Bricklaying Diary

Jul 11, 2026 · Industry Insights

Why AI-Era Data Governance Requires Ontology-Driven High-Quality Datasets

This article traces data governance evolution from master data consistency and metadata visibility to ontology-driven business semantic modeling, arguing that AI-era governance must produce high-quality datasets that are AI-usable, trustworthy, evaluable, and continuously optimized through explicit business object, process, rule, and evidence modeling.

AI data supplyDCMM 2.0Data Governance

0 likes · 14 min read

Why AI-Era Data Governance Requires Ontology-Driven High-Quality Datasets