[ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/Head", "@graph": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/pubinfo", "@graph": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8", "http://purl.org/dc/terms/created": [ { "@value": "2026-02-26T16:01:42.825Z", "@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.2406.14326" } ] }, { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/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": "HD7EcoFvrSWldH1Mk8pPuNNW03Y68+qVxMPd4Dlq0B+PZRretBRgc2yQqLkBTup8OHm8Ml/modbSFAXKonaYM4p1RWphzsocuthdLd75MwurykebaSACQnzX+A4LxiFbmmCaB00+Uml1wt9JmhMTZWoCHub6TUBnKTo0+s/lVEemSqlTJDrMlFjeglx2VXMGxmVftAdEhTcQT8ugjm79KvoOpdcGfiJ9M1WGgB9Q704wHi9geGIMS5iVXzZL41Kr6x4YRSNUhqZw+aD0uDHCrD3xyoKlpIOoTT5cpR2eeU5reIgHC7fTjOSwoKhMg31Ujkxc2CxarM/st/HxJ+t0PQ==" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/agent" } ] } ] }, { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/assertion", "@graph": [ { "@id": "https://doi.org/10.48550/arXiv.2406.14326", "http://purl.org/dc/terms/title": [ { "@value": "medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs" } ], "http://purl.org/spar/cito/describes": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MedIKAL" } ], "http://purl.org/spar/cito/discusses": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#BATGNN" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#CoT" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#DrKnows" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphChainOfThought" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#HyKGE" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ICP" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KGRank" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MindMap" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#RAMEHR" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#REALM" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ScCoT" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ToG" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ToT" } ], "@type": [ "http://www.w3.org/ns/prov#Entity" ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MedIKAL", "http://purl.org/dc/terms/subject": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning" } ], "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "The medIKAL framework integrates LLMs and KGs through a multi-step collaborative reasoning process. It begins by allowing LLMs to perform an initial diagnosis, whose results are then merged with KG search outcomes using a residual network-like approach. The KG further refines candidate diseases via path-based reranking, and its knowledge is specifically reconstructed into a semi-structured format. Finally, LLMs engage in collaborative reasoning with this reconstructed KG knowledge using a fill-in-the-blank prompt, thereby combining the strengths of both systems for enhanced clinical diagnosis." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "medIKAL" } ], "https://neverblink.eu/ontologies/llm-kg/hasTopCategory": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#BATGNN", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Bidirectional Attention-enhanced Graph Neural Network" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#CoT", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Chain-of-Thought" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#DrKnows", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "DR.KNOWS" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#GraphChainOfThought", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Graph Chain-of-Thought" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#HyKGE", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "HyKGE" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ICP", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "ICP" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#KGRank", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "KG-rank" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#MindMap", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "MindMap" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#RAMEHR", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "RAM-EHR" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#REALM", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "REALM" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ScCoT", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Self-Consistency with Chain-of-Thought" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ToG", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "ToG" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#ToT", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Tree-of-Thought" } ] } ] }, { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/provenance", "@graph": [ { "@id": "https://w3id.org/np/RAdzrwqknhWEx6Ra_jHzGEM-G_Kn1EHCSas2Vrskknw-8/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.2406.14326" } ] } ] } ]