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Tagged articles

semantic architecture

8 articles · Page 1 of 1
DataFunTalk
DataFunTalk
Aug 30, 2026 · Artificial Intelligence

How Ontology-Driven Agents Provide Secure, Controllable Execution in Harness Engineering

The article analyzes the current Agent hype, explains why autonomous agents often lack business‑level safety and control, and proposes an ontology‑driven Harness Engineering framework that embeds constraints, context management, and feedback loops directly into the business semantics, illustrated with the Knora implementation and real‑world case studies.

AI AgentsEnterprise AIKnora
0 likes · 21 min read
How Ontology-Driven Agents Provide Secure, Controllable Execution in Harness Engineering
DataFunSummit
DataFunSummit
Jul 29, 2026 · Artificial Intelligence

Harness Engineering’s Semantic Foundation: Ontology‑Driven, Controllable Agents

The article analyses why the current wave of AI agents often “runs away” from business rules, proposes an ontology‑driven semantic base to make agents safely controllable, details three technical pillars—architecture constraints, context engineering, and feedback loops—and illustrates the Knora implementation with a concrete work‑order change workflow.

AI AgentsContext EngineeringKnora
0 likes · 20 min read
Harness Engineering’s Semantic Foundation: Ontology‑Driven, Controllable Agents
DataFunSummit
DataFunSummit
Jul 26, 2026 · Artificial Intelligence

How Ontology-Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes the limitations of current AI agents, proposes an ontology‑driven semantic foundation for Harness Engineering, and details three technical pillars—architectural constraints, context engineering, and feedback loops—illustrated with the Knora platform and concrete workflow examples.

AI AgentEnterprise AIKnora
0 likes · 20 min read
How Ontology-Driven Agents Enable Controllable Execution in Harness Engineering
DataFunSummit
DataFunSummit
Jul 4, 2026 · Artificial Intelligence

How Ontology‑Driven Architecture Enables Controllable AI Agents

The article analyzes the limitations of current Agent‑centric AI solutions and proposes an ontology‑driven “Harness Engineering” framework that embeds business rules directly into the semantic layer, providing architecture constraints, context engineering, and feedback loops to achieve safe, auditable, and business‑controllable agent execution.

AI AgentContext EngineeringControl
0 likes · 18 min read
How Ontology‑Driven Architecture Enables Controllable AI Agents
DataFunSummit
DataFunSummit
Jul 2, 2026 · Artificial Intelligence

Harness Engineering’s Semantic Foundation: Ontology‑Driven Controllable Agent Execution

The article analyzes why current AI agents, despite impressive demos, often act beyond business rules, proposes an ontology‑driven semantic base called Harness Engineering to embed constraints, context, and auditability directly into the agent’s execution flow, and details the Knora implementation that demonstrates these concepts in real‑world scenarios.

AI AgentsContext EngineeringControllable AI
0 likes · 19 min read
Harness Engineering’s Semantic Foundation: Ontology‑Driven Controllable Agent Execution
Data Bricklaying Diary
Data Bricklaying Diary
Jun 30, 2026 · Artificial Intelligence

Building a Police AI Semantic Foundation: Six-Layer Architecture for Law Enforcement Case Handling

The article outlines a six-part architecture for a public security AI semantic foundation centered on the law enforcement case handling platform, integrating 110 alarm input, police data exchange, case materials, semantic modeling via OPM and ontology, node-specific AI agents, and supervision analytics, all governed by cross-cutting security, permission, and audit controls.

AI AgentsAI semantic foundationOPM modeling
0 likes · 18 min read
Building a Police AI Semantic Foundation: Six-Layer Architecture for Law Enforcement Case Handling
DataFunTalk
DataFunTalk
May 20, 2026 · Artificial Intelligence

How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes why the current wave of AI agents often “run out of control,” proposes a multi‑dimensional safety framework built on ontology‑driven semantic infrastructure, and demonstrates its practical impact through architecture constraints, context engineering, feedback loops, and the Knora platform’s real‑world deployments.

AI AgentEnterprise AIKnora
0 likes · 20 min read
How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering
DataFunSummit
DataFunSummit
Apr 24, 2026 · Artificial Intelligence

How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes why current AI agents often act unpredictably, defines a multi‑dimensional notion of safe and controllable execution, proposes an ontology‑driven semantic foundation with architecture constraints, context engineering, and feedback loops, and demonstrates the Knora implementation through concrete workflow examples.

AI AgentContext EngineeringKnora
0 likes · 20 min read
How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering