fig6

LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems

Figure 6. Example of schema-based materials data extraction. (A) Hierarchical schema structure for materials data extraction; (B) A source sentence is mapped into a nested schema that preserves material identity, synthesis and calcination conditions, property value, unit, and measurement conditions. This representation shows why schema-based extraction is useful for conditional materials properties whose meaning depends on experimental context.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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