Agentic schema-guided extraction of materials process knowledge from scientific literature

Excerpt

arXiv:2610.06322v1 Announce Type: cross Abstract: Materials literature contains detailed experimental knowledge, but procedures, chemical entities and measurements remain difficult to aggregate because they are reported in heterogeneous forms and depend on process-specific context. We present SciKGExtract, a schema-guided framework that combines large-language-model extraction with chemical normalization and agent-based evaluation and refinement before knowledge-graph integration. We evaluate th