LOM unifies ontology construction, semantic alignment, and deterministic reasoning in one architecture, reporting 88.8% accuracy on ontology completion and 94% on complex graph reasoning tasks.
Nayyeri et al
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid system augments LLMs with an automated external RDF/OWL ontology layer for long-term memory, SHACL/OWL validation, and improved multi-step reasoning on tasks like Tower of Hanoi.
citing papers explorer
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Unifying Ontology Construction and Semantic Alignment for Deterministic Enterprise Reasoning at Scale
LOM unifies ontology construction, semantic alignment, and deterministic reasoning in one architecture, reporting 88.8% accuracy on ontology completion and 94% on complex graph reasoning tasks.
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Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems
A hybrid system augments LLMs with an automated external RDF/OWL ontology layer for long-term memory, SHACL/OWL validation, and improved multi-step reasoning on tasks like Tower of Hanoi.