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Ah, one has to resolve, the other doesn't have to. Thanks for the explanation.

It seems you're proving my point: you didn't need to collaborate outside of your company. So you picked the path of least resistance and that's totally what I would do too.

But what if you work together with a plethora of academic institutions and then decide that you want to keep options open such that other disciplines can connect to you and you can connect to them, automatically?

You could create a consortium and create a shared Postgres schema (among other things), since everyone knows it. Or you could just put your linked data online with a web page, no consortium needed. Anyone who wants to link to you, they can. And if they publish their data, then by no effort of your own, your data is enriched as well.

I view linked data as a DSL of some sorts. DSLs are amazing, except if you try to force fit them into something they shouldn't be force fitted into. You are giving an argument that one should not force fit it within one organization.

And I agree with that since that's not where linked data shines. Just like SQL doesn't shine at making a raytracing engine, but that doesn't prevent anyone [1] ;-)

That's my current view anyway (again, 3 weeks in, I mostly dealt with NodeJS and ReactJS issues at the moment).

Also, a lot of SPARQL looks like SQL (to my new eyes anyway). Here's a tutorial on it (for a basic feel, watch until episode 5 -- takes about an hour, or watch just the first episode to get a feel): https://www.youtube.com/watch?v=nbUYrs_wWto&list=PLaa8QYrMzX...

[1] https://news.ycombinator.com/item?id=21218144



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