https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/Head
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://www.nanopub.org/nschema#hasAssertion
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/assertion
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://www.nanopub.org/nschema#hasProvenance
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/provenance
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://www.nanopub.org/nschema#hasPublicationInfo
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/pubinfo
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://www.nanopub.org/nschema#Nanopublication
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/assertion
https://doi.org/10.48550/arXiv.2602.05512
http://purl.org/dc/terms/title
A Human-in-the-Loop, LLM-Centered Architecture for Knowledge-Graph Question Answering
https://doi.org/10.48550/arXiv.2602.05512
http://purl.org/spar/cito/describes
https://neverblink.eu/ontologies/llm-kg/methods#HumanInTheLoopLLMCenteredArchitectureForKGQA
https://doi.org/10.48550/arXiv.2602.05512
http://purl.org/spar/cito/discusses
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithGNNEmbeddings
https://doi.org/10.48550/arXiv.2602.05512
http://purl.org/spar/cito/discusses
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithLinearizedTriples
https://doi.org/10.48550/arXiv.2602.05512
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#HumanInTheLoopLLMCenteredArchitectureForKGQA
http://purl.org/dc/terms/subject
https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning
https://neverblink.eu/ontologies/llm-kg/methods#HumanInTheLoopLLMCenteredArchitectureForKGQA
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://purl.org/spar/fabio/Workflow
https://neverblink.eu/ontologies/llm-kg/methods#HumanInTheLoopLLMCenteredArchitectureForKGQA
http://www.w3.org/2000/01/rdf-schema#comment
This framework introduces an interactive, LLM-centered architecture for Knowledge Graph Question Answering. It leverages LLMs to generate, explain, and iteratively refine Cypher graph queries through natural language feedback from users. This approach facilitates a synergized reasoning process by treating LLMs as agents that interact with KGs to conduct auditable and transparent reasoning, enhancing accessibility and control for non-experts.
https://neverblink.eu/ontologies/llm-kg/methods#HumanInTheLoopLLMCenteredArchitectureForKGQA
http://www.w3.org/2000/01/rdf-schema#label
A Human-in-the-Loop, LLM-Centered Architecture for Knowledge-Graph Question Answering
https://neverblink.eu/ontologies/llm-kg/methods#HumanInTheLoopLLMCenteredArchitectureForKGQA
https://neverblink.eu/ontologies/llm-kg/hasTopCategory
https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithGNNEmbeddings
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://purl.org/spar/fabio/Workflow
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithGNNEmbeddings
http://www.w3.org/2000/01/rdf-schema#label
KG-RAG with GNN Embeddings
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithLinearizedTriples
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
http://purl.org/spar/fabio/Workflow
https://neverblink.eu/ontologies/llm-kg/methods#KGRAGWithLinearizedTriples
http://www.w3.org/2000/01/rdf-schema#label
KG-RAG with Linearized Triples
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/provenance
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/assertion
http://www.w3.org/ns/prov#wasAttributedTo
https://neverblink.eu/ontologies/llm-kg/agent
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/assertion
http://www.w3.org/ns/prov#wasDerivedFrom
https://doi.org/10.48550/arXiv.2602.05512
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/pubinfo
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://purl.org/dc/terms/created
2026-02-26T16:19:53.558Z
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://purl.org/dc/terms/creator
https://neverblink.eu/ontologies/llm-kg/agent
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://purl.org/nanopub/x/hasNanopubType
https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
http://www.w3.org/2000/01/rdf-schema#label
LLM-KG assessment for paper 10.48550/arXiv.2602.05512
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/sig
http://purl.org/nanopub/x/hasAlgorithm
RSA
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/sig
http://purl.org/nanopub/x/hasPublicKey
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/sig
http://purl.org/nanopub/x/hasSignature
LsMOy/QIk/iy+vlkAmQ78GIuZ9XULs+NezkdInppOI8HWl2WegLO8hsJ1qqgT/fSFoDVUfx++p5clY0rH/Z3SQGlMaa/LCJ7OSsK/S/chV0AbrHwH1KIAPf9fHrtjnaWslyCpTCMhnVtK8QHzuhIDC3LtvKBKTb0sbqj8uGW1hB2horYau8Yd8fqRwvR6f8/xdti7tmcCP5Un2ZQUVLnsJkTK+A/odyMS1GGK4jA8czQROcayolaf/vkZ4Bz6iCNH9w+5KFLOZzUHpDU7uxspQC8CZjYXDFAfWH4ssXIjQNjnPbLQL3SWmLlbYyk5u0F0DWA5w1eGaRePDZpzgdS4g==
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/sig
http://purl.org/nanopub/x/hasSignatureTarget
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM
https://w3id.org/np/RAkwaK9tDGztpGAc2VQb7LXPti8JfIj0kKnJRtAAq1BHM/sig
http://purl.org/nanopub/x/signedBy
https://neverblink.eu/ontologies/llm-kg/agent