@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a prov:Entity; dct:title "VAT-KG: KNOWLEDGE-INTENSIVE MULTIMODAL KNOWLEDGE GRAPH DATASET FOR RETRIEVAL-AUGMENTED GENERATION"; , ; , , , , , . a ; rdfs:label "Gemini-2.5" . a ; rdfs:label "GPT-4o" . a ; rdfs:label "M2ConceptBase" . a ; dct:subject ; rdfs:comment "This framework integrates VAT-KG with Multimodal Large Language Models (MLLMs) for question answering across diverse modalities. It synergistically combines retrieval from VAT-KG with MLLM generation and includes a \"Retrieval Checker\" that uses the MLLM's text encoder to filter retrieved KG triplets, indicating a unified reasoning process where both LLM and KG representations are actively combined."; rdfs:label "Multimodal RAG Framework"; . a ; rdfs:label "Qwen2.5-Omni" . a ; dct:subject ; rdfs:comment "This method proposes a four-step pipeline for constructing the Visual-Audio-Text Knowledge Graph (VAT-KG). It explicitly leverages LLMs for \"Knowledge-Intensive Recaptioning\" to enrich textual data and \"Multimodal Triplet Grounding\" to extract knowledge-intensive triplets, directly supporting the construction of the knowledge graph. Thus, LLMs are used to improve a KG task, specifically KG construction."; rdfs:label "VAT-KG Construction Pipeline"; . a ; rdfs:label "Video-LLaMA2" . a ; rdfs:label "Wikidata5M" . } sub:provenance { sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom . } sub:pubinfo { this: dct:created "2026-02-26T15:44:44.440Z"^^xsd:dateTime; dct:creator ; npx:hasNanopubType ; rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2506.21556" . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"; npx:hasSignature "OqddnoTeurqKLv5Mku14JsvxdjqJExiHn4ql1dROycCWvq2fO0lrClRvIinPQx8iNULpuxn03UK+4bZ8L/ga38jxrQ9rhm+d2C8cZAQ0XxNtvu2MCKqFxbUeMTYI4SuCeOslm6E4DZ0/yY29WEl7hUxqga/RIhe/OuMU7y46gerkPAaXFQuIbaVpGgDOQQ1Z9kHTFJ0H6Wxbt+opXbsHqNV3ZvkCsucfMQUaSwk8KMkBghFVnmX1AYd94e5F/JhybnRjY10nqYsTx/2ovf++7FOeIox6/54jVcV9+JIzVQDj/ArlOdy20AToMINyGAT0vlHPLU73JBdBuZviB/uSjg=="; npx:hasSignatureTarget this:; npx:signedBy . }