The Green Potential of Knowledge Graphs
summary
Claims that a Neo4j knowledge graph maps supply‑chain emissions end to end and surfaces actionable hotspots, with supply chains causing over 60% of global GHG and transport ~14%. Built a proof‑of‑concept: Excel bill of materials becomes nodes and relationships, CO2 rates stored on edges, emissions aggregated up four levels and visualized as a NeoDash Sankey chart. Identifies a flex drive hotspot, supports scenario swaps (air→rail, machine/energy changes), and enables scoped‑3 reporting and what‑if quantification before investment.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:06Knowledge graphs for sustainability
- 3:36CO2 drivers in supply chains
- 5:40Manufacturing emissions modeling
- 6:01Transportation emissions analysis
- 6:44Packaging and distribution impact
- 7:06Bill of materials demo
- 8:30Sankey chart visualization
- 9:33Actionable sustainability strategies
- 10:59Call to action and conclusion
related talks
11mEnhancing Supply Chain Resilience and Transparency Through Spatial Knowledge Graphs
24mWhy You Need a Knowledge Graph And How to Build It
46mBuilding Knowledge Graphs
27mClimate and Compliance: The NGFS Climate Scenarios
24mYour company, as a Knowledge Graph - the foundation of cybersecurity’s future
38mBuilding a knowledge graph for climate policy
30mContext Engineering: Connecting the Dots with Graphs
44mBuilding Knowledge Graphs
