A Harmonized, Standards-based Ontology for Telco-grade Agents#

Dave Duggal — EnterpriseWeb (founder/CEO)

• Why: Not a fit for the PM's core stack, but it is the most idea-dense 30 minutes in the program: a serious architectural argument for why LLM agents can't be telco-grade without formal knowledge engineering — and a critique of the industry's current GraphRAG/RAG direction.
• What: The argument: statistical pattern matching (GenAI/agentic AI) is not good enough for reliable, available networks — backed by cited benchmarks (best-performing models at 25% full-sequence-match accuracy on nested API-call tasks; "context rot" research; Apple's "illusion of thinking"). The proposal: knowledge graphs with formal ontologies (harmonizing 3GPP, O-RAN, TMF, ETSI NFV, TOSCA, MPLIFY LSO) as the deterministic layer, with the KG as a "control language" over language models — low-token, low-latency, energy-efficient, deterministically validating inferences — and as a secure blackboard providing shared memory, domain knowledge, temporal history, and tools to agents under strong governance.
• How: The technical meat is a "ladder of abstraction" from relational tables through labeled-property graphs and RDF triplestores to hypergraphs supporting multi-dimensional, conditional, n-ary relationships — with pointed analysis of why each lower rung fails (joins are expensive; LPGs can't model n-ary object relationships; RDF triples explode with complexity). The KG sits behind an MCP server as "Context-as-a-Service."
• Where applicable: Telco-centric (3GPP/TMF framing, 6G "AI-native" vision) and vendor-originated (EnterpriseWeb CEO), so discount accordingly — but the underlying critique and the hypergraph-over-RDF/LPG reasoning apply to anyone building agent governance for infrastructure where determinism matters. Pairs naturally with the PM's identity interest: this is effectively an argument for formal, governable agent context and permissions.