Hello everyone : )
I am curious about the steps involved in creating a knowledge graph using open statistical data. My research has brought me to the conclusion that the RDF Data Cube Vocabulary (W3C) is the way to go for modelling statistical data (e.g. population counts, averages etc.), so my question is the best way to go about this with Neo4j.
Am I right in thinking that the below steps would be along the right lines, or am I completely off the mark? Any help/advice greatly appreciated!
- Create an ontology based on the RDF Data Cube Vocabulary using Protégé
- Import the ontology in to Neo4j
- Import the statistical data (multiple sources)
- Analyze the data (visualisations, pattern finding, ML etc.)