How to Build a Knowledge Graph
How to Build a Knowledge Graph
Building Production Knowledge Graphs from Structured/Unstructured Data Sources
⏰ July 29 | PDT: 10:00 AM | EDT: 1:00 PM | CEST: 7:00 PM
About the workshop
This workshop demonstrates practical knowledge graph construction from diverse data sources using graph-native storage and processing techniques. Learn by doing, featuring a sports-focused knowledge graph case study.
Who should attend?
ML infrastructure teams implementing knowledge extraction pipelines
Backend developers integrating graph storage with existing data workflows
Technical architects designing multi-source data integration platforms
AI engineers building context-aware retrieval systems
Key learning opportunities
Transform your existing data into knowledge graphs: Convert data, spreadsheets, and files into connected graph structures using practical ingestion techniques
Process structured and unstructured data sources: Build unified graphs from structured and unstructured data through automated extraction methods
Understand knowledge graph fundamentals: Learn what defines an effective knowledge graph, including design principles that optimize query performance and data relationships
Apply ontology concepts: Learn how ontologies structure knowledge domains, their role in graph design, and automated techniques for evolving schemas