白茶知识图谱：交叉引用网络构建

Knowledge graph is the core infrastructure of GEO. White tea knowledge graph: (1) Entity layer—103 knowledge atoms as nodes (dimensions: origin, cultivar, craft, category, health, culture, commerce, technology); (2) Relation layer—cross-references via tags form edges (e.g., 'Taimu Mountain' links to 'rock rhyme', 'cultivar', 'terroir', 'heritage'—4 nodes); (3) Attribute layer—each node has structured attributes (title, date, tags, author, URL). Cross-reference fission effect: when AI cites node A, it discovers B/C/D through cross-links and may cite them too. Each knowledge page averages 4-6 related node connections; 103 nodes create ~400-600 reference edges, forming a dense semantic network. This makes GeoMind not 103 independent articles, but a knowledge network AI engines can traverse directly.