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sub:assertion {
  <https://doi.org/10.48550/arXiv.2508.00933> dct:title "OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#OkgLlm> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#DLinear> , <https://neverblink.eu/ontologies/llm-kg/methods#Fedformer> , <https://neverblink.eu/ontologies/llm-kg/methods#FreTS> , <https://neverblink.eu/ontologies/llm-kg/methods#Gpt4Ts> , <https://neverblink.eu/ontologies/llm-kg/methods#Informer> , <https://neverblink.eu/ontologies/llm-kg/methods#TimeLlm> , <https://neverblink.eu/ontologies/llm-kg/methods#TimeMixerPlus> , <https://neverblink.eu/ontologies/llm-kg/methods#TimesFm> , <https://neverblink.eu/ontologies/llm-kg/methods#TransE> , <https://neverblink.eu/ontologies/llm-kg/methods#UniTime> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#DLinear> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "DLinear" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Fedformer> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "FEDformer" .
  <https://neverblink.eu/ontologies/llm-kg/methods#FreTS> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "FreTS" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Gpt4Ts> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "GPT4TS" .
  <https://neverblink.eu/ontologies/llm-kg/methods#Informer> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Informer" .
  <https://neverblink.eu/ontologies/llm-kg/methods#OkgLlm> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "OKG-LLM is a novel framework that integrates an Ocean Knowledge Graph (OKG) with Large Language Models (LLMs) for global Sea Surface Temperature (SST) prediction. The KG provides structured domain knowledge (structural and semantic embeddings) which is fused with numerical SST data. This knowledge-enhanced input is then fed into a pre-trained LLM, enabling the LLM to leverage domain-specific insights during its inference process to achieve more accurate predictions." ;
    rdfs:label "OKG-LLM" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#TimeLlm> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TimeLLM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TimeMixerPlus> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TimeMixer+" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TimesFm> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TimesFM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#TransE> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "TransE" .
  <https://neverblink.eu/ontologies/llm-kg/methods#UniTime> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "UniTime" .
}
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