Jul 17, 2026 · Big Data

Ontology-Driven Data Governance: Mapping Data Assets to Business Semantic Assets

This article details the third step of ontology-driven data governance: mapping existing data assets — tables, fields, documents, logs, APIs, model outputs, and human confirmations — to a business semantic model through object, attribute, state, relationship, rule, evidence, and service-action mappings, producing semantic lineage, evidence chains, and high-quality dataset candidates for semantic queries, quality validation, and agent services.

Evidence ChainOntology-Driven Data Governanceagent services

0 likes · 15 min read

Ontology-Driven Data Governance: Mapping Data Assets to Business Semantic Assets

Data Bricklaying Diary

Jul 16, 2026 · Big Data

Building Business Semantic Models for Ontology-Driven Data Governance

The article explains how to transform business models into machine-understandable business semantic models for ontology-driven data governance, covering eight key content types including concepts, relationships, states, processes, rules, metrics, evidence, and action contracts, plus transformation steps, granularity control, and deliverables such as semantic glossaries and relationship models.

AI AgentData GovernanceOntology-Driven Data Governance

0 likes · 16 min read

Building Business Semantic Models for Ontology-Driven Data Governance