[ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion", "@graph": [ { "@id": "https://doi.org/10.48550/arXiv.2412.10654", "http://purl.org/dc/terms/title": [ { "@value": "Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data" } ], "http://purl.org/spar/cito/describes": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning" } ], "http://purl.org/spar/cito/discusses": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#biranEtAlBackPatching" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphLLM" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphRAG" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa" }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#reasoningOnGraphRoG" } ], "@type": [ "http://www.w3.org/ns/prov#Entity" ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphProgrammingLanguageRepresentationForLlmReasoning", "http://purl.org/dc/terms/subject": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation" } ], "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#comment": [ { "@value": "This method proposes and evaluates representing Knowledge Graphs using programming language (Python) code, both statically and dynamically. This representation is then used to either prompt or fine-tune Large Language Models, aiming to deeply integrate KG structures and semantics into LLM representations. The goal is to enhance LLM multi-hop reasoning by enabling the LLM to effectively represent and process knowledge from both its natural language understanding and the structured KG input in a synergistic manner." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Knowledge Graph Programming Language Representation for LLM Reasoning" } ], "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#biranEtAlBackPatching", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Biran et al. Back-patching Approach" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#dernbachEtAlNeighborhoodEncoding", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Dernbach et al. Neighborhood Partitioning and Encoding Scheme" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graph2TextStrategy", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Graph2Text Strategy" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphLLM", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GraphLLM" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#graphRAG", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "GraphRAG" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#nieEtAlCodeStyleIclForKbqa", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Nie et al. Code-style In-Context Learning for KBQA" } ] }, { "@id": "https://neverblink.eu/ontologies/llm-kg/methods#reasoningOnGraphRoG", "@type": [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Reasoning on Graph (RoG)" } ] } ] }, { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/pubinfo", "@graph": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8", "http://purl.org/dc/terms/created": [ { "@value": "2026-02-26T15:54:25.193Z", "@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.2412.10654" } ] }, { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/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": "q2q14mbIlSHpgJGMrW91J8E7NPjW9q5XrqO8xjEsnf9UOW82imofLNwFVcGELm9S8Q9uvkcAdde/YajKHlU1ECbPt76iNp92ycnqUMqUMAU+k2EN5/eaOL/nejv5/EoRJ1GY3Tz8PWCrejMpgQS7LEzG0m0adZ4R8LcmrpJ07SdYNz+nO1wA1TZx5QRVDxxxstSCDtdsCDSWgSXEG3x0PPixaeeLrgMARGy51RUVeENH5OBkb4LhaqyJWToULCTWNvLWcTsnhkpGAR6h96uRyPcdVJh2zljG4k/Kx/24HTvh3OYPF4kfttrWyItqUO70yfMTcUs12MMdP07vfLKtRg==" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://neverblink.eu/ontologies/llm-kg/agent" } ] } ] }, { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/Head", "@graph": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/provenance", "@graph": [ { "@id": "https://w3id.org/np/RA_KvkcBK2jEkoQuo82LEGQ0t6eYoZe8RTN1kIa_N2fW8/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.2412.10654" } ] } ] } ]