Summary

The knowledge construction of big-data-driven networking (bDDN) enables the comprehensive extraction of latent insights from network big data, transforming massive multi-source datasets into actionable network knowledge, such as knowledge graph-based services and knowledge-enhanced models. By establishing a closed-loop process that encompasses knowledge construction, knowledge-enhanced decision-making, and knowledge verification, bDDN achieves enhanced capabilities in logical reasoning, autonomous learning, and intelligent decision-making with traceable analytical processes. This Recommendation specifies the architecture and mechanism of knowledge construction for bDDN.