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Comment by taherchhabra | Hacker News Reader

Sounds like a good Enterprise saas product idea

The beauty of RDF is it can support schema promiscuity i.e. you can have many schemas for your same data. You can do that with OWL. In typical graph databases you are fixed on nodes, properties and edges, but in RDF you can choose what should be node and properties arbitrarily. My issue with RDF has been performance works great for categorical, relationship heavy data, but not so much for numerical data.

I am also a fan of RDF and OWL. My two ‘practical semantic web’ books (one in Common Lisp and one for Jave/Clojure/Scala) are now 8 years old, but you can get free PDFs from my web site. Those books badly need second editions, the material is interesting but outdated.

Mark, are you up for helping with solid security for cl-solid? (The library now works with both Neptune and Allegrograph) https://github.com/gibsonf1/cl-solid - live use of cl-solid library here https://graphmetrix.net , sometimes very lively discussion of Solid here: https://gitter.im/solid/chat (including Tim BL)

I have no time right now. Contact me in 5 weeks and we can talk then.

Great

What's a modern, easy to get started with RDF-compatible database?

I have thought about this also. I am retiring from my job in a month but I would like to keep writing books and also have one commercial software product. I used to sell my NLP toolkit written in Ruby but open source NLP libraries, and deep learning solutions, are so good that I don’t want to be in that business.

If you're interested in challenges, could you consider temporal graphs? Both from the perspective of tracking graph evolution (audit trail), and using a graph to model historical events, where relations occur for periods of time - it always sounds doable and then I sit down to do it :)

Throw in probability and vagueness (history examples: this happened sometime in the 1950s / we're only 50% certain that Henry VII was the father of this child) and it becomes a whole lot more complicated; yet what can be inferred increases in usefulness.

My inspiration is http://commons.pelagios.org/ and the digital humanities field.

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