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Knowledge graph base for your information model #10

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skybristol opened this issue Jan 7, 2020 · 3 comments
Open

Knowledge graph base for your information model #10

skybristol opened this issue Jan 7, 2020 · 3 comments

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@skybristol
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At its heart, what you seem to be building here is a knowledge graph with known and as yet unknown end members. I'd encourage thinking about it this way, building a conceptual model for the graph, and then instantiating it as the glue that holds everything together.

@trashbirdecology
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At its heart, what you seem to be building here is a knowledge graph with known and as yet unknown end members. I'd encourage thinking about it this way, building a conceptual model for the graph, and then instantiating it as the glue that holds everything together.

Can you think of any stellar (or interstellar) examples of such conceptual models. There was one provided today in the DevOps meeting by Xenity, but seemed more architechturally detailed than we require.

@trashbirdecology
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trashbirdecology commented Jan 14, 2020

@skybristol pinging you again for clarity

@skybristol
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Here's a nice article saying that there's no simple definition and the jargon is all bullshit anyway.

It really just struck me, as I was reading your preamble for the project and the issues starting to be articulated, that a knowledge graph of some kind could be useful in putting all the pieces of this together. Personally, I used a tool called The Brain (still around apparently) for a number of years to build conceptual models that I then translated into working data models. The interesting thing about working in that and similar paradigms was that I could create both well articulated and less well defined nodes in the graph as I accumulated information and developed understanding.

I'm sure there are lots of better tools out there, and I know the ontology engineering world has a lot to offer, but it seems like it might be useful to start mapping out all the different nodes in terms of stakeholders and their decisions, data/information sources, confounding factors, and other end members and seeing how they all tie together.

There are really interesting conceptual models to look at, of course, like some work from a colleague of mine describing the wetland continuum. An interesting dynamic in the USAvian case, I think, is that you are dealing with all the interesting human dimensions here and the use of these data that people need to make.

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