Hello all! First of all I want to thank everyone on the Neo4j team for all their hard work on such a promising and exciting new technology.
I'm working on a bit of a pet project at the moment; I'm hoping to take the data dumps from Discogs (a record collection site) and load it into Neo4j. My primary goal with this data is to expose the data between *releases* and *artists* (main artists as well as extra artists in terms of credits). The challenge with the Discogs data is that there is no differentiation between "individual" *artists* and "group" *artists *(bands, etc)*. *They are all contained within the *artists* collection. I'm more interested in exposing the relationships of *individuals*, using *groups* as ancillary metadata if applicable, and so therefore need to differentiate groups somehow in the graph. Fortunately, many of the *artists* that are in fact *groups *contain *members* that link back to individual *artists.* Does anyone have any idea how he or she could model this data, since in effect I'll need to "break apart" one single field to two separate node types in the graph? I've attached a quick SVG I created in the arrow tool to help visualize. Maybe I'm thinking about it the wrong way? -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to neo4j+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
graph_model
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