Closed bhpayne closed 2 years ago
My reluctance to store the PDG content as either a relational database or as a property graph was the loss of plain text access for offline editing.
To enable plaintext access while getting the benefits of a property graph, I could store the content as a Cypher command.
Candidate property graph syntax to use:
comparisons
Neo4j with Flask in docker-compose
docker-compose
Started a Neo4j implementation in https://github.com/allofphysicsgraph/proofofconcept/tree/gh-pages/property_graph
Advantage is the support for user queries
My reluctance to store the PDG content as either a relational database or as a property graph was the loss of plain text access for offline editing.
To enable plaintext access while getting the benefits of a property graph, I could store the content as a Cypher command.
Candidate property graph syntax to use: