Haslhofer, Isaac and Simon describe knowledge graphs as the digital transformation of long-standing library and humanities practices of classification, authority control and scholarly linking. Their iconic proposition is that concepts, people, places and events can form an interconnected and decentralised knowledge network exposed through the Web. The theoretical contribution lies in joining machine-readable formalisation with community-driven curation, allowing structured knowledge to remain socially extensible. Methodologically, the paper surveys knowledge-organisation systems, Linked Data practices and emerging graph-based research infrastructures across libraries and digital humanities. The conceptual operation is networked enrichment: records cease to function as isolated units and become nodes whose relations support discovery, navigation, visualisation and mixed-method research. The wider bridge reaches library science, semantic-web research, digital historiography and corpus analysis. Knowledge graphs become intellectually productive when they connect evidence and interpretation without collapsing the difference between factual statements, curated authority and scholarly inference.
