Evaluating OpenSPG Engine for Network Operations.

Telecommunication networks pose challenges for root cause analysis due to complexity, heterogeneous data, and high event volumes. Existing models like RDF and LPG provide only partial solutions when used alone. This paper explores the Semantic-enhanced Programmable Graph (SPG) approach via the OpenSPG engine, which combines property graph flexibility with RDF-inspired semantics. Applied to a telecom use case, OpenSPG shows advantages for event-centric modeling but remains limited in maturity, tooling, and semantic interoperability, highlighting directions for future semantic-enabled network management.