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OPM

9 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Sep 24, 2026 · Artificial Intelligence

Why Your Knowledge Graph Fails to Explain Business: The Missing Ontology Layer

This article uses an order management example to explain why a knowledge graph alone cannot capture business meaning, defines ontology as explicit computer-processable descriptions of concepts and constraints, distinguishes ontology from knowledge graphs and graph databases, compares OWL and OPM modeling approaches, and provides six validation questions for ontology-driven data governance.

OPMOWLSHACL
0 likes · 21 min read
Why Your Knowledge Graph Fails to Explain Business: The Missing Ontology Layer
Data Bricklaying Diary
Data Bricklaying Diary
Aug 8, 2026 · Artificial Intelligence

Why Large Models Alone Fail in Industry AI: The Semantic Platform Gap

The article argues that industry AI requires a semantic platform to connect large models, data platforms, and business scenarios by structuring business objects, processes, states, rules, evidence, and action contracts, enabling verifiable, traceable agent execution and continuous model-data resonance.

AI AgentsIndustry AILarge Language Models
0 likes · 12 min read
Why Large Models Alone Fail in Industry AI: The Semantic Platform Gap
Data Bricklaying Diary
Data Bricklaying Diary
Aug 3, 2026 · Artificial Intelligence

Ontology: A Modeling Mindset for Machine-Understandable Business Semantics

The article argues ontology is not a new technology but a modeling mindset that defines business objects, relationships, states, rules, and actions to create a machine-understandable semantic layer, enabling AI agents to act within explicit business constraints rather than just generating responses.

AI AgentsKnowledge ManagementMBSE
0 likes · 13 min read
Ontology: A Modeling Mindset for Machine-Understandable Business Semantics
Data Bricklaying Diary
Data Bricklaying Diary
Jul 15, 2026 · Big Data

Ontology-Driven Data Governance: Business Modeling from Research to Symbolic Models

This article explains how ontology-driven data governance requires thorough business research and modeling before database design, detailing a six-element framework (objects, processes, states, rules, data sources, Agent opportunities) and visual modeling techniques like OPM and BPMN to create stable semantic foundations for data mapping and AI agents.

AI AgentsBPMNOPM
0 likes · 12 min read
Ontology-Driven Data Governance: Business Modeling from Research to Symbolic Models
Data Bricklaying Diary
Data Bricklaying Diary
Jul 6, 2026 · Big Data

Ontology-Driven Data Governance: From Metadata to Business Semantics for AI Agents

The article argues that traditional master data and metadata management only achieve data visibility and traceability, while ontology-driven governance adds a computable business semantic layer—modeling objects, processes, states, rules, and actions via OPM and ontology—to enable AI agents to execute tasks reliably within real business contexts.

AI AgentsBusiness Semantic GovernanceMaster Data Management
0 likes · 15 min read
Ontology-Driven Data Governance: From Metadata to Business Semantics for AI Agents
Data Bricklaying Diary
Data Bricklaying Diary
Jul 5, 2026 · Industry Insights

Piloting a Judicial Semantic Platform: 6 Steps from Semantic Model to Controlled AI Agent

This article outlines a six-step methodology for piloting a judicial semantic platform: freeze a runnable semantic model using OPM, integrate minimum necessary data, run case object views, build a business-oriented front-end, integrate a controlled AI Agent with audit logging, and validate via a five-dimensional acceptance loop before scaling.

AI AgentOPMSemantic Modeling
0 likes · 16 min read
Piloting a Judicial Semantic Platform: 6 Steps from Semantic Model to Controlled AI Agent
Data Bricklaying Diary
Data Bricklaying Diary
Jul 3, 2026 · Artificial Intelligence

Building Industry AI Semantic Foundations: MBSE Guides OPM & Ontology

The article argues that an industry AI semantic foundation requires MBSE to define system boundaries and verification loops, OPM to model objects, processes, and state changes, and ontology to consolidate unified semantic assets, providing a five-step implementation path for continuous model-data resonance.

Industry AIMBSEModel-Data Resonance
0 likes · 20 min read
Building Industry AI Semantic Foundations: MBSE Guides OPM & Ontology
Open Source Tech Hub
Open Source Tech Hub
Jul 17, 2024 · Backend Development

Master OpenResty Package Management with OPM: A Complete Guide

This guide explains how to use OpenResty's official package manager OPM to search, install, inspect, list, upgrade, and remove Lua modules, demonstrates a full lua‑resty‑http example with Nginx configuration and curl testing, and compares OPM with LuaRocks.

Backend DevelopmentOPMpackage management
0 likes · 9 min read
Master OpenResty Package Management with OPM: A Complete Guide