Nanopublications

@prefix this: <https://w3id.org/np/RANPOxqANlZQhkLWip58NeqQw7MwolCfRxHQfOYfFZbI4> .
@prefix sub: <https://w3id.org/np/RANPOxqANlZQhkLWip58NeqQw7MwolCfRxHQfOYfFZbI4/> .
@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.2402.13750> dct:title "Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#LlmKerec> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Dcn> , <https://neverblink.eu/ontologies/llm-kg/methods#Dnn> , <https://neverblink.eu/ontologies/llm-kg/methods#Esmm> , <https://neverblink.eu/ontologies/llm-kg/methods#Masknet> , <https://neverblink.eu/ontologies/llm-kg/methods#Ple> , <https://neverblink.eu/ontologies/llm-kg/methods#WideDeep> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#Dcn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DCN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Dnn> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DNN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Esmm> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ESMM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LlmKerec> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "LLM-KERec is a novel recommendation system where Large Language Models are critically used in the \"Complementary Graph Construction\" module. Here, LLMs infer and determine complementary relationships between entities, thus performing a key task in building the knowledge graph. This direct use of LLMs for relation extraction within KG construction aligns with the LLMAugmentedKGConstruction category." ;
    rdfs:label "LLM-KERec" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#Masknet> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Masknet" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Ple> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "PLE" .
  <https://neverblink.eu/ontologies/llm-kg/methods#WideDeep> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Wide&Deep" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2402.13750> .
}

sub:pubinfo {
  this: dct:created "2026-02-26T15:38:54.494Z"^^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.2402.13750" .
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