This article explores how ontology-driven semantic infrastructure enables controllable Agent execution in Harness Engineering, detailing architecture constraints, context engineering, feedback loops, and the Knora platform's implementation across manufacturing and energy sectors.
This article explores how ontology-driven architecture provides a semantic foundation for controllable AI agent execution, detailing the Knora platform's three-layer design, LPG-based ontology modeling, cognitive engine mediation, and real-world deployments in energy and manufacturing that achieve 70x efficiency gains.
The article presents ontology as the semantic infrastructure for controllable Agent execution, replacing fragile prompt-based constraints with structured business models that enable architecture constraints, context engineering, and verifiable feedback loops, illustrated by the Knora platform's three-layer design and real-world 70x efficiency gains in railway reporting.
This article explores how ontology-driven architecture enables controllable Agent execution by replacing external constraints with intrinsic semantic structures, detailing the Knora platform's three-layer design and its deployment in energy, manufacturing, and finance sectors.
This article explores how ontology-driven architecture solves the uncontrollability of LLM agents in enterprise settings by replacing external prompt-based constraints with explicit semantic modeling, detailing Knora's three-layer system that enables deterministic verification, precise context retrieval, and continuous ontology evolution from execution feedback, with real-world 70x efficiency gains in railway reporting.
