Nanopublication

ID

https://w3id.org/np/RABTh6r58uXeKXx-GxV1gAan-TGqahFoDCnmz6cTD50Mg
Formats

Content

@prefix this: <https://w3id.org/np/RABTh6r58uXeKXx-GxV1gAan-TGqahFoDCnmz6cTD50Mg> .
@prefix sub: <https://w3id.org/np/RABTh6r58uXeKXx-GxV1gAan-TGqahFoDCnmz6cTD50Mg/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix pav: <http://purl.org/pav/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfg: <http://www.w3.org/2004/03/trix/rdfg-1/> .
@prefix dce: <http://purl.org/dc/elements/1.1/> .
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@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: a np:Nanopublication;
    np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2507.10630> a prov:Entity;
    dct:title "Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KG2data>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Chat2data>,
      <https://neverblink.eu/ontologies/llm-kg/methods#RAG2data> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Chat2data> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Chat2data" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#KG2data> a <http://purl.org/spar/fabio/Workflow>;
    dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    rdfs:comment "KG2data is a system that integrates knowledge graphs, LLMs, ReAct agents, and tool usage to improve the accuracy and robustness of LLM API calls in knowledge-intensive domains like meteorology. It uses the KG as a long-term memory module for the LLM-driven agent, providing domain-specific knowledge during the inference stage to overcome LLM's limitations without retraining.";
    rdfs:label "KG2data";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RAG2data> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "RAG2data" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent>;
    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2507.10630> .
}

sub:pubinfo {
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2507.10630" .
  
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}