https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0/Head https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0/assertion https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0/provenance https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0/pubinfo https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RARkb97mshizOgqIHNBp6rV8FAuwf5wcxXUhrjbBk1HB0/assertion https://doi.org/10.48550/arXiv.2502.01298 http://purl.org/dc/terms/title Augmented Knowledge Graph Querying leveraging LLMs https://doi.org/10.48550/arXiv.2502.01298 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM https://doi.org/10.48550/arXiv.2502.01298 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#CatSQL https://doi.org/10.48550/arXiv.2502.01298 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#NLQxform https://doi.org/10.48550/arXiv.2502.01298 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#SGPT https://doi.org/10.48550/arXiv.2502.01298 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#CatSQL http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#CatSQL http://www.w3.org/2000/01/rdf-schema#label CatSQL https://neverblink.eu/ontologies/llm-kg/methods#NLQxform http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#NLQxform http://www.w3.org/2000/01/rdf-schema#label NLQxform https://neverblink.eu/ontologies/llm-kg/methods#SGPT http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#SGPT http://www.w3.org/2000/01/rdf-schema#label SGPT https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGQuestionAnswering https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM http://www.w3.org/2000/01/rdf-schema#comment SparqLLM is a novel Retrieval-Augmented Generation (RAG) framework that integrates Large Language Models with Knowledge Graphs. 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