How to Build a Knowledge Graph in 7 Steps - Graph Database & Analytics
neo4j.com
How to Build a Knowledge Graph in 7 Steps - Graph Database & Analytics
Discover how to build a knowledge graph in 7 simple steps, from defining your use case to creating a model to ingesting your data.
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The Semantic Web, RDF, and Generating Knowledge Graphs from Legacy Data A key part of any knowledge graph -based system is the ETL pipeline that produces graph data from legacy data sources. The so-called “Semantic Web stack” contains several standardized and mature technologies to implement these pipelines. In this presentation we cover how to “craft RDF” using existing standards and their open-source implementations. Specifically, we cover R2RML and RML (for mapping tabular data to RDF), XSLT
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Today we’re launching “Agentic Knowledge Graph Construction,” a short course built in collaboration with Neo4j and taught by Andreas Kollegger. RAG retrieves relevant text, and knowledge graphs complement it by modeling relationships and provenance so answers reflect how your data is connected. This short course shows how to automate knowledge graph construction using collaborating AI agents. You’ll implement a workflow that: - Captures the user goal - Automatically selects relevant files - Prop
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