Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge

Researchers have introduced a novel approach to enhance domain-specific knowledge graphs by integrating comprehensive general knowledge in a paper published on arXiv on January 26, 2026, addressing the critical gap in systematic exploration of knowledge graph expansion methods. The study, titled 'Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge,' examines the limitations of current methods for enriching domain-specific knowledge graphs (DKGs). These graphs, while crucial for specialized fields, often suffer from limited coverage compared to General Knowledge Graphs (GKGs). Existing approaches primarily rely on extracting knowledge from external unstructured data or completing knowledge graphs through internal reasoning, but researchers note that the scope and quality of such integrations remain insufficient. The research highlights that little systematic exploration has been conducted on how comprehensive general knowledge can be effectively utilized to enhance domain-specific knowledge graphs, representing a significant challenge in fields requiring specialized information where both deep domain knowledge and broader contextual understanding are essential for domain experts and AI systems alike.