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On Measuring Semantic Preservation in Legal Ontology Learning
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ontology learningsemantic preservationlegal AIevaluation framework
2608.12326
Builder Relevance
6h ago80%
Abstract
The paper proposes a methodology to evaluate semantic preservation in ontology learning, particularly in legal contexts.
Reality Card
Core Claim
The study introduces an evaluation framework that quantifies semantic loss during ontology learning by comparing LLM performance on source documents and transformed representations.
Method / Result
Demonstrated systematic semantic loss with significant variation based on reasoning complexity and model-method interactions.
Limitations
The evaluation methodology may require extensive domain-specific knowledge and resources to implement effectively.