[ { "@id": "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4/provenance", "@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/assertion", "@graph": [ { "@id": "https://doi.org/10.48550/arXiv.2402.09911", "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" } ], "@type": [ "http://www.w3.org/ns/prov#Entity" ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#PgAkv", "http://purl.org/dc/terms/subject": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference" } ], "@type": [ "http://purl.org/spar/fabio/Workflow" ], "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#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#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/pubinfo", "@graph": [ { "@id": "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4", "http://purl.org/dc/terms/created": [ { "@value": "2026-02-26T15:45:52.930Z", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "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/Head", "@graph": [ { "@id": "https://w3id.org/np/RADAA8dLU4iwYB2k1Q-xYbzHBdCDe5O5uJVVzM6egyyJ4", "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" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] } ]