quake VS Protégé

When I create Quake which is a meta-framework for knowledge management, I found componentless is the pattern of Quake's low-code design principle, I decide to abstract the patterns of it. I call it Componentless:

Along those lines, not Jena but useful for playing with ideas is Protege, https://protege.stanford.edu/

If you go with the Semantic Web there are many tools. The best free tool (possibly the best tool period) for creating OWL ontologies is the Protege ontology editor developed at Stanford. I wrote a tutorial that explains how to use Protege and gives more detail on OWL, SPARQL, etc. https://www.michaeldebellis.com/post/new-protege-pizza-tutorial

The case is different for more mature ontologies. The prime example is the sharing of drug information among drug vendors. They have an incentive to share because that ultimate saves them time in developing a drug that may already have been developed. It's like a prescreening for patenable drugs. They sgare knowledge in an ontology library called "Bioportal". many of the dntris are written in a form suported by the Protoge' editor. The Bioportal is open so anyone can look at the submissions. Protoge' is free and you can find tutorials on how to use it. You can find it at: https://protege.stanford.edu/

If you could put this into an ontological solver format, like Cyc or protege ( https://protege.stanford.edu/ ) then create a couple dozen translations of real laws into the format, you could turn gpt-3 loose on the entire set of United States federal, state, and local laws and regulations. Then propose a question to the solver using your model whereby a person can successfully sue or acquire property according to the letter of the law.

There are probably hundreds of obscure unintended consequences of laws not intended to have the effects they do in practice.

Figure out contract law and parse website TOS and EULAs for violations and you could probably make some money.

The biggest benefit of such a system, though, would be for actual legislators, so they could run simulations of proposals to get a sense of consequences in practice. Simulation and summarization could be very powerful.

Protege Desktop