AI RESEARCH
BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
arXiv CS.AI
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ArXi:2605.19518v1 Announce Type: new Generating Knowledge Graphs (KGs) remains one of the most time-consuming and labor-intensive tasks for knowledge engineers, as they need to identify semantic equivalences between input data sources and ontology terms. While declarative solutions (e.g., RML, SPARQL-Anything) have helped to generalize this process, aligning input schema elements with ontology terms still involves intricate transformations and requires considerable manual effort.