I think I found the correct union of features that would be helpful in a data science context. That is a database that works like git or *git for data* kind of database.
It's mainly inspired from datomic and two papers: - Git for triples http://www.hyperdev.fr/projects/neon/ldow2013-paper-01.pdf - Revisions for triples http://www.hyperdev.fr/projects/neon/10.1.1.662.1619.pdf Unlike datomic, the history is direct-acyclic-graph (DAG). That is, *you can have branches*. I think that's the feature that makes all of this worthy. You can populate your database with wikidata and then create a branch to add edits and test your program against both versions of the database and compare the results. The data is stored efficiently without copying. Do you think this kind of database can be useful in your work? -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to opencog+unsubscr...@googlegroups.com. To post to this group, send email to opencog@googlegroups.com. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/db0ce7d7-5c27-4151-94a0-37ad1bf179f4%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
