Ontologies

Deletion sounds simple until the system still knows the thing you deleted. A company removes a sensitive supplier label from its knowledge graph. A hospital publishes a subset of a medical ontology without exposing internal diagnostic codes. A compliance team rewrites a rule base so external partners can query it without seeing the original vocabulary. Everyone nods. The data is “sanitized.” The schema is “simplified.” The private terms are gone. ...

A server goes down. Not a poetic metaphor. An actual server. In the paper’s SAP scenario, Server 003 is offline. At first, this sounds like a routine IT incident: check connectivity, inspect logs, restart services, escalate if necessary. The sort of answer a general LLM can produce in tidy bullet points before congratulating itself for being helpful. The problem is that the server is not just “a server.” It runs the LE-DEL module for Logistics Execution — Delivery and Returns. Its failure brings down Dispatching Bay 17. The bay handles high-value shipments. In one prompt variant, downtime can cost $2.4 million in three hours. In another, chemical product containers may pile up against regulatory limits. ...