Tagged articles

business rules

22 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Sep 30, 2026 · Artificial Intelligence

Ontology Intelligence Pilots: Readiness Depends on Specific Conditions, Not Company Size

The article argues that suitability for ontology intelligence pilots depends on specific readiness conditions—concrete tasks, accessible data, verifiable results, clear authority for rule confirmation, and maintenance plans—not company size, illustrating with a comparison of two enterprises and providing a six-item checklist for project preparation.

after-sales servicebusiness rulesdata governance
0 likes · 17 min read
Ontology Intelligence Pilots: Readiness Depends on Specific Conditions, Not Company Size
Data Bricklaying Diary
Data Bricklaying Diary
Sep 18, 2026 · Artificial Intelligence

High-Quality Data Annotation: Business Rules, Expert Disagreements & Arbitration Mechanisms

This article explains how high-quality data annotation requires defining annotation units, business rules, evidence requirements, and rejection criteria, then using double-blind annotation, disagreement classification, expert arbitration, and version governance to ensure correctness, rather than relying solely on inter-annotator agreement metrics.

Data Qualityactive learningbusiness rules
0 likes · 29 min read
High-Quality Data Annotation: Business Rules, Expert Disagreements & Arbitration Mechanisms
LuTiao Programming
LuTiao Programming
Sep 17, 2026 · Backend Development

Java 27 Finally Lets You Switch on long, double, boolean — With Range Guards

Java 27's preview feature extends switch expressions to all primitive types (long, float, double, boolean) and adds pattern matching with 'when' guards, enabling concise range-based business rules instead of if-else chains, though it remains a preview feature requiring explicit enablement.

Java 27Pattern Matchingbackend development
0 likes · 11 min read
Java 27 Finally Lets You Switch on long, double, boolean — With Range Guards
Data Bricklaying Diary
Data Bricklaying Diary
Sep 14, 2026 · Artificial Intelligence

Can LLMs Auto-Build Ontologies? AI Finds Candidates, Business Defines Reality

This article explains how large language models accelerate ontology engineering through candidate discovery, formalization, and validation, but cannot replace human responsibility for defining business objects, rules, and risk boundaries, proposing a seven-step human-AI collaboration process with three-zone isolation to prevent AI from polluting production baselines.

OWLSemantic Webbusiness rules
0 likes · 25 min read
Can LLMs Auto-Build Ontologies? AI Finds Candidates, Business Defines Reality
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Sep 11, 2026 · Backend Development

Why 90% of ERP Implementations Fail: The Hidden Semantic Gap OntoL Ontology Fixes

This article explains why ERP systems with identical workflows produce vastly different outcomes, revealing that business semantics and rules—not processes—determine success, and demonstrates how OntoL's ontology modeling with TBox/ABox layers and inference engines standardizes constraints, versioning, and traceability across manufacturing scenarios.

BOMECNERP
0 likes · 25 min read
Why 90% of ERP Implementations Fail: The Hidden Semantic Gap OntoL Ontology Fixes
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Sep 3, 2026 · Artificial Intelligence

Why More Tools Make Enterprise Agents Less Trustworthy: Tool Registry vs. Governed Action Space

The article argues that simply connecting more tools to enterprise AI agents reduces operational trust because tools lack business context; instead, a governed action space that dynamically determines valid actions based on object state, rules, and permissions is essential for safe, autonomous agent operation.

AI agentsAction SpaceAgent Architecture
0 likes · 14 min read
Why More Tools Make Enterprise Agents Less Trustworthy: Tool Registry vs. Governed Action Space
Data Bricklaying Diary
Data Bricklaying Diary
Aug 23, 2026 · Fundamentals

From Business Research to Ontology Modeling: 7-Step Framework for Verifiable Business Models

This article details a seven-step methodology to transform business research findings into verifiable business models ready for ontology engineering, using an order fulfillment risk case study to illustrate object identification, rule definition, evidence mapping, and validation through competency questions and boundary samples.

business modelingbusiness rulescase study
0 likes · 28 min read
From Business Research to Ontology Modeling: 7-Step Framework for Verifiable Business Models
Digital Deification
Digital Deification
Aug 19, 2026 · Artificial Intelligence

Enterprise AI's Bottom Line: Semantic Firewall Keeps LLM Hallucinations Out of Production

The article argues that enterprises must not let large language models directly execute production actions; instead, an ontology-based semantic firewall should validate every LLM output against defined business concepts, relationships, rules, and terminology before allowing execution, preventing hallucinations from causing real-world accidents.

Enterprise AIHallucination BlockingLLM Safety
0 likes · 11 min read
Enterprise AI's Bottom Line: Semantic Firewall Keeps LLM Hallucinations Out of Production
Data Bricklaying Diary
Data Bricklaying Diary
Aug 13, 2026 · Backend Development

Where Do Business Rules Belong? A Framework for Atomic Rule Placement

This article proposes decomposing business policies into atomic rules—semantic definitions, fact constraints, disposition strategies, process rules, and transaction invariants—and assigning each to its appropriate engineering carrier (ontology, validation, decision service, workflow, or code) based on what it constrains and who owns the outcome, unified by a policy catalog linking versions and implementations.

OntologyRule Engineatomic rules
0 likes · 16 min read
Where Do Business Rules Belong? A Framework for Atomic Rule Placement
macrozheng
macrozheng
Oct 23, 2025 · Backend Development

Boost Business Agility with a Spring Boot Dynamic Rule Engine

This article explains how backend developers can replace hard‑coded business logic with a dynamic rule engine built on Spring Boot and QLExpress, enabling rapid rule changes, reducing deployment risk, and empowering non‑technical staff to manage complex e‑commerce, finance, and marketing scenarios.

Dynamic Rule EngineJavaQLExpress
0 likes · 14 min read
Boost Business Agility with a Spring Boot Dynamic Rule Engine
Java Tech Enthusiast
Java Tech Enthusiast
Oct 10, 2025 · Backend Development

Boost Business Agility with a Dynamic Rule Engine in Spring Boot

This article explains how separating business rules from code using a dynamic rule engine—implemented with QLExpress, Spring Boot, and a lightweight front‑end—enables rapid rule changes, reduces deployment risk, and empowers non‑technical staff to adjust pricing, risk, and marketing policies in real time.

Dynamic Rule EngineQLExpressSpring Boot
0 likes · 14 min read
Boost Business Agility with a Dynamic Rule Engine in Spring Boot
Code Ape Tech Column
Code Ape Tech Column
Sep 25, 2025 · Backend Development

How a Dynamic Rule Engine Can Cut Deployment Time from Hours to Minutes

This article explains how separating business rules from code using a dynamic rule engine—implemented with Spring Boot, QLExpress, and a simple HTML/Tailwind front‑end—enables rapid, low‑risk rule changes for e‑commerce, finance, and content platforms, illustrated with full code examples and real‑world scenarios.

BackendDynamic Rule Enginebusiness rules
0 likes · 14 min read
How a Dynamic Rule Engine Can Cut Deployment Time from Hours to Minutes
Code Ape Tech Column
Code Ape Tech Column
Apr 2, 2025 · Backend Development

Easy Rules Java Rule Engine: Features, Usage, and Real‑World Scenarios

This article introduces the lightweight Easy Rules Java rule engine, explains why traditional if‑else logic is problematic, demonstrates core concepts such as rule, condition, action, and facts, provides step‑by‑step code examples, showcases six practical use‑cases, and shows how to integrate it with Spring Boot and Maven.

Easy RulesJavaMaven
0 likes · 16 min read
Easy Rules Java Rule Engine: Features, Usage, and Real‑World Scenarios
Ubiquitous Tech
Ubiquitous Tech
Nov 23, 2024 · Fundamentals

Rule Engine Basics: Getting Started with the Open‑Source EasyRule

The article walks through the problems of hard‑coded if‑else logic, introduces rule engines as a flexible solution, explains EasyRule’s concepts, advantages, and classifications, and provides step‑by‑step Java examples using annotations, fluent API, MVEL, and YAML configurations.

EasyRuleFluent APIJava
0 likes · 20 min read
Rule Engine Basics: Getting Started with the Open‑Source EasyRule
HomeTech
HomeTech
Jun 27, 2023 · Backend Development

Introduction to Rule Engines and Their Application in a Car‑Buying Workflow

This article explains what a rule engine is, contrasts it with workflow engines, outlines its benefits, reviews popular Java rule‑engine frameworks, and demonstrates a practical implementation for a second‑hand car buying process using JSON configuration, Spring‑SpEL, and modular Java actions.

Configurationbusiness rulesworkflow
0 likes · 15 min read
Introduction to Rule Engines and Their Application in a Car‑Buying Workflow
Zhuanzhuan Tech
Zhuanzhuan Tech
Jun 7, 2023 · Backend Development

Understanding Rule Engines and Their Application in ZuanZuan Wallet with EasyRules Performance Analysis

This article explains the concepts of rule engines versus imperative programming, demonstrates rule‑engine implementation with EasyRules through code examples, discusses its business value and application in ZuanZuan Wallet, and analyzes the performance of EasyRules in rule evaluation and execution.

Easy RulesJavabackend development
0 likes · 10 min read
Understanding Rule Engines and Their Application in ZuanZuan Wallet with EasyRules Performance Analysis
macrozheng
macrozheng
May 22, 2023 · Backend Development

How to Integrate URule Rule Engine into Spring Boot: A Hands‑On Guide

This article walks through the background, core concepts, installation steps, library definitions, rule set creation, decision table usage, and a real‑world promotion scenario for integrating the URule rule engine with a Spring Boot backend, providing code snippets and visual configuration tips.

JavaSpring BootURule
0 likes · 15 min read
How to Integrate URule Rule Engine into Spring Boot: A Hands‑On Guide
vivo Internet Technology
vivo Internet Technology
Nov 23, 2022 · Backend Development

Drools Rule Engine and Rete Algorithm: Concepts, Implementation, and Application in a Collection System

The article explains how Drools, a business rule management system using the Rete algorithm, separates decision logic from code by generating DRL files from decision‑table data, enabling non‑technical users to manage collection‑system rules that assign overdue cases to queues, while noting current limitations and future upgrades.

DroolsJavaRete Algorithm
0 likes · 24 min read
Drools Rule Engine and Rete Algorithm: Concepts, Implementation, and Application in a Collection System
YunZhu Net Technology Team
YunZhu Net Technology Team
Dec 10, 2021 · Backend Development

Understanding Rule Engines: Concepts, Patterns, and Practical Applications

This article explains what a rule engine is, why it is useful, common products, core concepts such as rule files, LHS/RHS, facts, and various modeling patterns, as well as management, execution modes, real‑world use cases and best‑practice recommendations for building scalable backend rule‑processing systems.

Rule Enginebusiness rulesdecision table
0 likes · 17 min read
Understanding Rule Engines: Concepts, Patterns, and Practical Applications