Building a knowledge graph for climate policy
summary
An open-source knowledge graph combines in-house policy expertise with scalable data infrastructure to label 27.5k documents (2M pages, 45M passages) and 350k annual users, using a Wikibase concept store with roughly 1,500 concepts authored by experts, a classifier factory that produces and promotes models (about 80 classifiers today, aiming for thousands), human validation plus a vibe checker for evaluation, and an inference pipeline feeding Vesper search orchestrated by Prefect that is reduced from 137 days to under 24 hours.
AI-written summary · about
chapters (16)
- 0:00Introduction
- 0:32What is Climate Policy Radar
- 2:00Why a knowledge graph
- 7:40Defining concepts
- 11:23Classifiers
- 14:13Validation
- 17:26Vibe Check
- 17:58Scaling
- 18:49Text classification pipeline
- 19:20Training
- 21:15Inference and indexing
- 25:49Observability
- 29:40Results
- 30:28Questions
- 33:20Architecture
- 35:34Illustrations
related talks
44mBuilding Knowledge Graphs
44mBuilding Knowledge Graphs
46mBuilding Knowledge Graphs
11mEnhancing Supply Chain Resilience and Transparency Through Spatial Knowledge Graphs
12mThe Green Potential of Knowledge Graphs
24mWhy You Need a Knowledge Graph And How to Build It
29mBuilding a knowledge graph with the Natural History Museum to work as a taxonomic equivalence engine
27mClimate and Compliance: The NGFS Climate Scenarios
