Mastering Knowledge Graph Transformations Without Compromising Meaning
summary
Hands-on recipe for moving between RDF and labeled property graphs with concrete warnings and mappings: shows RDF triples to LPG nodes/edges mapping, two strategies for classes (map classes to labels or to class nodes), and why naive label mapping drops subclass relations and class axioms. Demonstrates work on a large crosslingual HR recruitment knowledge graph using RDF and Neo4j (AuraDB, Knowledge Graph Builder) and explains that OWL axioms (symmetric/inverse/transitive) lost unless reimplemented via custom code or Cypher.
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chapters (5)
- 0:00Introduction to knowledge graphs
- 2:59Label property graph model
- 7:10RDF and OWL overview
- 11:19Transforming between models
- 19:24Key differences and risks
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