[ { "@graph" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4", "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ], "http://www.nanopub.org/nschema#hasAssertion" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/pubinfo" } ] } ], "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/Head" }, { "@graph" : [ { "@id" : "https://doi.org/10.48550/arXiv.2402.09911", "@type" : [ "http://www.w3.org/ns/prov#Entity" ], "http://purl.org/dc/terms/title" : [ { "@value" : "Enhancing Large Language Models with Pseudoand Multisource-Knowledge Graphs for Open-ended Question Answering" } ], "http://purl.org/spar/cito/describes" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#PgAkv" } ], "http://purl.org/spar/cito/discusses" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Chain-of-Thought (CoT)" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#IoPrompt", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "IO Prompt" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#PgAkv", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://purl.org/dc/terms/subject" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference" } ], "http://www.w3.org/2000/01/rdf-schema#comment" : [ { "@value" : "PG&AKV is a framework designed to enhance LLM performance during inference, specifically for open-ended and precise question answering. It leverages LLMs to generate a preliminary knowledge framework (pseudo-graph) and then uses external KGs for atomic-level knowledge querying and verification. The refined knowledge from KGs mitigates LLM hallucinations and improves answer accuracy without retraining, aligning with the goal of KGEnhancedLLMInference." } ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Pseudo-Graph Generation and Atomic Knowledge Verification (PG&AKV)" } ], "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Retrieval-Augmented Generation (RAG)" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Self-Consistency (SC)" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ThinkOnGraph", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Think on Graph (ToG)" } ] } ], "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/assertion" }, { "@graph" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/assertion", "http://www.w3.org/ns/prov#wasAttributedTo" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://www.w3.org/ns/prov#wasDerivedFrom" : [ { "@id" : "https://doi.org/10.48550/arXiv.2402.09911" } ] } ], "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/provenance" }, { "@graph" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4", "http://purl.org/dc/terms/created" : [ { "@type" : "http://www.w3.org/2001/XMLSchema#dateTime", "@value" : "2026-02-26T15:45:52.930Z" } ], "http://purl.org/dc/terms/creator" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://purl.org/nanopub/x/hasNanopubType" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult" } ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "LLM-KG assessment for paper 10.48550/arXiv.2402.09911" } ] }, { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/sig", "http://purl.org/nanopub/x/hasAlgorithm" : [ { "@value" : "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey" : [ { "@value" : "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" } ], "http://purl.org/nanopub/x/hasSignature" : [ { "@value" : "JKk9iTyYFMKs38NFNpOVUn0OmCLQq4r9OnU6V+9aN0WcEebtrUxplapE+qNyT3LBwSbhMjk+2ucm2i+sz0M9FnmvXmN5DcT+laC7EuxspfWDrN2sjjTV6VP4IUt0FQn0jDWve9yW/Jbspn1VQhUPFsdLDEWF6OI0B6ZIGHIYIUW9zWkMaAOC2NFrA+cJ02+y1xXbHWuUu5rt4zNi7pGuS5PWjWSCzTBIC+0wukagXQy7T2Gimqhbcf+YyKrvD1h8Un1aMQ/Y3uNpc/UgQxpJs+Z1Ixt7Y/ybx+AmpTmcrs2ZGqeaNNi9Ac57u8kr6WEEbmopHB3pg/8eTprvq2ax4A==" } ], "http://purl.org/nanopub/x/hasSignatureTarget" : [ { "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4" } ], "http://purl.org/nanopub/x/signedBy" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ] } ], "@id" : "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/pubinfo" } ]