Nanopublications

@prefix this: <https://w3id.org/np/RAuQerpJpVFdTaM6yy6PmlGS5nMe7UZy4lSrhY886tqoY> .
@prefix sub: <https://w3id.org/np/RAuQerpJpVFdTaM6yy6PmlGS5nMe7UZy4lSrhY886tqoY/> .
@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 {
  this: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2403.05881> dct:title "KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KgRank> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#BaizeHealthcare> , <https://neverblink.eu/ontologies/llm-kg/methods#CohereRerankModel> , <https://neverblink.eu/ontologies/llm-kg/methods#Gpt4> , <https://neverblink.eu/ontologies/llm-kg/methods#LLaMa2> , <https://neverblink.eu/ontologies/llm-kg/methods#MedCpt> , <https://neverblink.eu/ontologies/llm-kg/methods#UmlsBert> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#BaizeHealthcare> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "baize-healthcare" .
  <https://neverblink.eu/ontologies/llm-kg/methods#CohereRerankModel> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Cohere re-rank model" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Gpt4> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GPT-4" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KgRank> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "KG-Rank is an augmented LLM framework that integrates a medical Knowledge Graph with novel ranking and re-ranking techniques. It identifies entities, retrieves relevant KG triples, and applies methods like Similarity Ranking, Answer Expansion Ranking, and MMR Ranking, followed by MedCPT-based re-ranking to provide relevant and precise information to LLMs during inference. The primary goal is to improve the factual consistency and reliability of LLM-generated long-form answers in medical Question Answering." ;
    rdfs:label "KG-Rank" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#LLaMa2> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "LLaMa2" .
  <https://neverblink.eu/ontologies/llm-kg/methods#MedCpt> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "MedCPT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#UmlsBert> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "UmlsBERT" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2403.05881> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T13:21:06.452Z"^^xsd:dateTime ;
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    npx:hasNanopubType <https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult> ;
    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2403.05881" .
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