Leveraging Semantic Networks for Data Integration at Deutsche Bahn
summary
Deutsche Bahn’s data team (ten members, work started March last year) uses Neo4j to turn many source databases into a single, queryable object per real-world asset by mapping systems into an ontology that keeps duplicates as confirmations and flags divergent values for expert review. The team ships an alpha GUI with semantic support that shows live integration, supports perspectives to store layouts, lets users edit nodes/relations, embeds Python for styling, and follows a semantic network with custom grammar that drives a generic integration method; open sourcing is under consideration.
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chapters (7)
- 0:00Introduction to Deutsche Bahn
- 3:46Problem of data silos
- 7:47Live demo introduction
- 14:26Ontology and meta labels
- 18:27GUI features and editing
- 20:39Open-sourcing the GUI
- 21:44Q&A and closing
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