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Should we use the fancy supporting graph infrastructure for subclass inference? #414
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Our team is still thinking this through, and we have asked for help in the reasonerapi Slack channel. I'm pasting my post from that channel below. This post has links to graphics/slides for the Topic 1: how to represent a result when ID-expansion is done? AKA an entity-curie on a QNode was expanded to include ontology-descendants. In the migration guide, we saw that Q1: Is it still okay to use Q2: If the answer to Q1 is no, then what is the recommended way to represent the info in my example?
Q3: If the answer to Q2 is to use auxiliary graphs + create edges ... then is "nesting" okay?
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And now for my impressions (not representing my teams as a whole): A. implementing
B. while our team can most likely implement an auxiliary-graph / creating-edges method, I'm not enthusiastic about it...
C. I understand that users find it confusing when descendant-terms are used, when that's not what they asked for. I wonder...
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There is a PR here: e9c41d5 that proposes to implement this. |
@edeutsch I think the example in the PR needs some edits:
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thanks! @uhbrar would you see if you can fix? |
Yes, I've gone ahead and fixed that. Thanks! |
There was some musing about whether simple subclass inference as performed by KPs should also use the auxiliary / supporting graph infrastructure.
This seemed appealing to some. But others felt that there was no need to take something that is already working and change it so substantially. We are undecided. This issue is a placeholder to consider this further and make a decision.
This issue illustrates the ongoing conversation: NCATSTranslator/Feedback#117
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