Nanopublications

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@prefix dct: <http://purl.org/dc/terms/> .
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sub:assertion {
  <https://doi.org/10.48550/arXiv.2403.12151> dct:title "Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KaradimisEtAl2024LLMKGFusedOSC> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ALIGN> , <https://neverblink.eu/ontologies/llm-kg/methods#BLIP> , <https://neverblink.eu/ontologies/llm-kg/methods#CLIP> , <https://neverblink.eu/ontologies/llm-kg/methods#HuangEtAl2022MultimodalKGEmbedding> , <https://neverblink.eu/ontologies/llm-kg/methods#KEPLER> , <https://neverblink.eu/ontologies/llm-kg/methods#OaSc> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#ALIGN> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ALIGN" .
  <https://neverblink.eu/ontologies/llm-kg/methods#BLIP> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "BLIP" .
  <https://neverblink.eu/ontologies/llm-kg/methods#CLIP> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "CLIP" .
  <https://neverblink.eu/ontologies/llm-kg/methods#HuangEtAl2022MultimodalKGEmbedding> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Huang et al. 2022 Multimodal KG Embedding" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KEPLER> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KEPLER" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KaradimisEtAl2024LLMKGFusedOSC> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method introduces a novel multi-stage pipeline for zero-shot object state classification. It synergistically integrates LLM-generated domain-specific knowledge, fuses it with general-purpose embeddings, and then leverages Knowledge Graphs and Graph Neural Networks to project these combined semantic embeddings into a visual space. This unified framework enables effective reasoning by combining LLM-derived knowledge and KG structure to solve a complex vision task." ;
    rdfs:label "Karadimis Et Al 2024 LLM KG Fused Object State Classification" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#OaSc> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "OaSc" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2403.12151> .
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sub:pubinfo {
  this: dct:created "2026-02-26T16:32:47.964Z"^^xsd:dateTime ;
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2403.12151" .
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