Nanopublications

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sub:assertion {
  <https://doi.org/10.48550/arXiv.2502.01298> dct:title "Augmented Knowledge Graph Querying leveraging LLMs" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#CatSQL> , <https://neverblink.eu/ontologies/llm-kg/methods#NLQxform> , <https://neverblink.eu/ontologies/llm-kg/methods#SGPT> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#CatSQL> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "CatSQL" .
  <https://neverblink.eu/ontologies/llm-kg/methods#NLQxform> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "NLQxform" .
  <https://neverblink.eu/ontologies/llm-kg/methods#SGPT> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "SGPT" .
  <https://neverblink.eu/ontologies/llm-kg/methods#SparqLLM> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGQuestionAnswering> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "SparqLLM is a novel Retrieval-Augmented Generation (RAG) framework that integrates Large Language Models with Knowledge Graphs. Its core purpose is to automate SPARQL query generation from natural language questions and provide dynamic data visualization of the results, thereby significantly enhancing user-friendly interaction and accessibility for Knowledge Graph Question Answering tasks." ;
    rdfs:label "SparqLLM" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2502.01298> .
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