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Research map / Large language models / Reasoning and chain of thought

Ontology Materialization by Abstraction Refinement in Horn SHOIF

AAAI 2017 · Large language models › Reasoning and chain of thought · approach: Long CoT dynamics and efficiency · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use abstraction refinement (Orar) before reasoning instead of reasoning over the full ABoxHorn SHOIF materialization · LUBM and IMDb+ABox sizeHelped
use abstraction refinement on ontologies with nominalsOrar · UOBM U10 / U500abstract ABox size relative to original: approx 19% (U10) -> less than 2% (U500)Helped
use abstraction refinement on DBPedia+Orar · DBPedia+abstract ABox size relative to original: merely 15% of originalHelped
Orar abstraction vs PAGOdA without abstractionfull materialization · LUBM L500reasoning time (s): 621 -> 304Helped

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