Nanopublications

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@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

sub:Head {
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2512.20136> dct:title "M 3 KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#M3KGRAG> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG> , <https://neverblink.eu/ontologies/llm-kg/methods#HippoRAG2> , <https://neverblink.eu/ontologies/llm-kg/methods#LightRAG> , <https://neverblink.eu/ontologies/llm-kg/methods#M2ConceptBase> , <https://neverblink.eu/ontologies/llm-kg/methods#MRMKG> , <https://neverblink.eu/ontologies/llm-kg/methods#VATKG> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GraphRAG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#HippoRAG2> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "HippoRAG2" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LightRAG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "LightRAG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#M2ConceptBase> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "M2ConceptBase" .
  <https://neverblink.eu/ontologies/llm-kg/methods#M3KGRAG> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "M3KG-RAG is an end-to-end framework that constructs a multi-hop multimodal knowledge graph (M3KG) using a lightweight multi-agent pipeline (LLMs as agents for KG construction) and employs a novel Grounded Retrieval And Selective Pruning (GRASP) mechanism for retrieving and filtering knowledge. It is designed to enhance multimodal large language models (MLLMs) by supplying query-aligned, answer-supportive knowledge to improve their reasoning depth and answer faithfulness. This method integrates LLM agents for KG construction and KG-enhanced retrieval for MLLMs, thereby synergizing both aspects for reasoning." ;
    rdfs:label "M3KG-RAG (Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation)" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#MRMKG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "MR-MKG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#VATKG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "VAT-KG" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2512.20136> .
}

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