Nanopublications

@prefix this: <https://w3id.org/np/RAGWWU9GP3oQaMbf6-BftQobentkRz2FwGFYFzFd8bOn0> .
@prefix sub: <https://w3id.org/np/RAGWWU9GP3oQaMbf6-BftQobentkRz2FwGFYFzFd8bOn0/> .
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@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/> .

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sub:assertion {
  <https://doi.org/10.48550/arXiv.2512.10440> dct:title "Enhancing Next-Generation Language Models with Knowledge Graphs: Extending Claude, Mistral IA, and GPT-4 via KG-BERT" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#kgBertTailoredLlmIntegrationStrategy> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#jiEtAlKgIntegrationIntoTransformers> , <https://neverblink.eu/ontologies/llm-kg/methods#kgBert> , <https://neverblink.eu/ontologies/llm-kg/methods#kgGat> , <https://neverblink.eu/ontologies/llm-kg/methods#xuEtAlScalingKgIntegration> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#jiEtAlKgIntegrationIntoTransformers> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Ji et al. KGs Integration into Transformers" .
  <https://neverblink.eu/ontologies/llm-kg/methods#kgBert> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KG-BERT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#kgBertTailoredLlmIntegrationStrategy> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method proposes a specific architectural integration strategy for incorporating KG-BERT into diverse pre-trained LLMs (Claude, Mistral IA, GPT-4). It involves adding dedicated components such as a KG-dedicated attention layer, modularized cross-layers with lightweight aggregation, or a dedicated attention head. The goal is to enhance the LLMs' factual accuracy, reasoning, and consistency in knowledge-intensive tasks like question answering and entity linking during their inference phase." ;
    rdfs:label "KG-BERT-Tailored LLM Integration Strategy" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#kgGat> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "K-GAT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#xuEtAlScalingKgIntegration> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Xu et al. Scaling KG Integration" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2512.10440> .
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2512.10440" .
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