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Importance of Criteria in Decision Making for Knowledge Graphs

Avatar of Phil T.Phil T.
·May 05, 2021 08:54 PM

Not the only criteria, but I think it’s an important one. I elaborated a little here.

4 comments

· Sorted by Oldest
  • Avatar of Véronique G.
    Véronique G.
    ·

    not sure I understand you point ... what do you mean "if your connected graph isn’t particularly useful," who builds a graph that is not useful for something ?? 🤔

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  • Avatar of Véronique G.
    Véronique G.
    ·

    also, as I mentioned here I use a tool to build my personal documentation as a graph, so some of it is absolutely not shared understanding but I would definitely call it knowledge

  • Avatar of Phil T.
    Phil T.
    ·

    It was in the context of the question raised on that thread. In terms of usefulness (which I qualified as subjective), I rather imagine most humans will, with thought, produce something consumable; machines on the other hand can construct graphs that might not be so useful. And, shared-ness is not the only qualifying criteria for knowledge; certainly not in any binary sense. Perhaps if I said it was value-adding it would be less contentious?

  • Avatar of Bojan Božić
    Bojan Božić
    ·

    Véronique G. It really doesn’t have to be shared understanding. The crucial points are the relations or properties (the edges). If they transport meaning and are not simply connecting nodes to visualise them, then you have a knowledge graph. Knowledge is information+context, which you clearly have, it’s also a graph representation. Voilà.

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