- Applying transformations to the imported RDF graph to make it benefit from the LPG modelling capabilities and enriching the graph with additional complementary data sources.
- Querying the graph to do complex path analysis and use graph patterns to detect data quality issues like data duplication and also to profile your dataset
- Integrate Neo4j with standard BI tools to build nice charts on the output of Cypher queries on your graph.
- Building an RDF API on top of your Neo4j graph.
All the code I’ll use is available on GitHub. Enjoy!
Continue reading “Neo4j is your RDF store (part 3) : Thomson Reuters’ OpenPermID”