Automated Knowledge Graph Creation for Semantic Verification

Abstract

Automated knowledge graph (KG) construction has become a critical approach for structuring complex, domain-specific information, particularly within technical and highstakes contexts. Despite recent advancements, current solutions often suffer from inaccurate triplet extraction, inadequate validation mechanisms, and a high degree of dependency on manual review.