A Python script that converts ConceptNets CSV data a CSV input that can be fast imported into Neo4J
Neo4J is a useful graph database for performing complex graph queries, and thus is quite suitable for a graph database such as ConceptNet.
As Neo4J has a very useful ./neo4j-import tool, converting ConceptNet into a suitable input for this can enable a user to import ConceptNet in less than a minute.
This script takes in the extracted concept_flat_csv folder, and exports a node.csv and relationship.csv file which can then be imported into Neo4J using ./neo4j-import.
After running, you can import it into conceptnet using something like:
./neo4j-import --into "folder you want to store db in" --nodes "nodes.csv" --relationships "relationships.csv"