What tools are you using for knowledge graph building?

I've used Apache Jena (Java) for a research project with DBpedia. I know there are some other options that are a bit quicker for processing RDFs, but I think most are proprietary.

Apache Jena, along with Apache Stanbol.

Shameless plug: we are incorporating both into products and will be offering support/services around both. If anybody is looking for help with this stuff, give us a shout.

GRAKN.AI (https://grakn.ai/) is a powerful, open-source knowledge graph platform. Highly recommended!

- Disclosure: I work at Grakn Labs. That being said, I am convinced that it is one of the most innovative solutions out there, and we have a great community working on really neat projects.

We see Neo4j get used relatively frequently as the aggregate view of data pipelines, e.g., Roam Analytics uses Neo4j to spit out tables/views across many different data sources to perform ML enrichment on that they then pipe back into the graph to feed their app.

eBay (ShopBot) is a Neo4j powered ML chatbot. AirBnb also builds knowledge graphs with Neo4j.

Video from GraphConnect today talking about knowledge graphs: https://youtu.be/dqrlotzdUlo?t=3175

Transparency: I'm an employee at Neo4j.

Hmm, very interesting software proposed here that I did not know of (tried neo4j). Can you guys tell in a few sentences what differentiate your products? For example, GRAKN.AI is marketing as best for AI purposes but could not figure why it was exactly better than other graph DBs. DGraph says it is fast, is that only differentiator? Etc..