[ {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs",
    "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ],
    "http://www.nanopub.org/nschema#hasAssertion" : [ {
      "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/assertion"
    } ],
    "http://www.nanopub.org/nschema#hasProvenance" : [ {
      "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/provenance"
    } ],
    "http://www.nanopub.org/nschema#hasPublicationInfo" : [ {
      "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/pubinfo"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/Head"
}, {
  "@graph" : [ {
    "@id" : "https://doi.org/10.48550/arXiv.2503.07682",
    "@type" : [ "http://www.w3.org/ns/prov#Entity" ],
    "http://purl.org/dc/terms/title" : [ {
      "@value" : "A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph"
    } ],
    "http://purl.org/spar/cito/describes" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#FusionAwareTemporalModule"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeDrivenTemporalPrompt"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LTM"
    } ],
    "http://purl.org/spar/cito/discusses" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ARIMA"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#AnomalyTransformer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Auto-TTE"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#AutoTimes"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Autoformer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Chat-GPT"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChatGLM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DLinear"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ETSformer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ExponentialSmoothing"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GPT"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GRU"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Informer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLM4TS"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLMTime"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLaMA"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LPTM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LSTM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RNN"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SDformer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#StateSpaceModels"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TIME-FFM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TTM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TemporalFusionTransformer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Time-LLM"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Timer"
    }, {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TimesNet"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ARIMA",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "ARIMA"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#AnomalyTransformer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Anomaly Transformer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Auto-TTE",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Auto-TTE"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#AutoTimes",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "AutoTimes"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Autoformer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Autoformer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Chat-GPT",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Chat-GPT"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChatGLM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "ChatGLM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DLinear",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "DLinear"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ETSformer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "ETSformer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ExponentialSmoothing",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Exponential Smoothing"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#FusionAwareTemporalModule",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://purl.org/dc/terms/subject" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#comment" : [ {
      "@value" : "This module deeply integrates natural language prompt embeddings (derived from the LLM) with time series data. It aligns pooled text features with temporal segments and uses multi-scale convolutions to combine them effectively. This process aims to create a unified representation by merging semantic knowledge from the LLM with temporal patterns, thereby enhancing the model's ability to learn complex patterns for time series tasks."
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Fusion-Aware Temporal Module"
    } ],
    "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GPT",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "GPT"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GRU",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "GRU"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "GraphRAG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Informer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Informer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeDrivenTemporalPrompt",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://purl.org/dc/terms/subject" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#comment" : [ {
      "@value" : "This module leverages a Knowledge Graph (KG) to enrich user-provided prompts with task-relevant semantics and descriptive insights for time series analysis. By incorporating retrieved knowledge into the prompt, it enhances the LLM's input at the inference stage, allowing the LLM to access external knowledge to improve its performance on time series tasks."
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Knowledge-Driven Temporal Prompt"
    } ],
    "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLM4TS",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LLM4TS"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLMTime",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LLMTime"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LLaMA",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LLaMA"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LPTM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LPTM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LSTM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LSTM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#LTM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://purl.org/dc/terms/subject" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedKnowledgeRepresentation"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#comment" : [ {
      "@value" : "LTM is a novel multi-task framework that integrates time series models, LLMs, and KGs for tasks like forecasting, imputation, and anomaly detection. It achieves a deep fusion of temporal and semantic features by combining KG-enhanced prompts with LLM processing and feature fusion modules, representing knowledge from both LLMs and KGs in a unified manner for time series analysis."
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LTM"
    } ],
    "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RNN",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "RNN"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SDformer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "SDformer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#StateSpaceModels",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "State-Space Models"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TIME-FFM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "TIME-FFM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TTM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "TTM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TemporalFusionTransformer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Temporal Fusion Transformer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Time-LLM",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Time-LLM"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#Timer",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "Timer"
    } ]
  }, {
    "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#TimesNet",
    "@type" : [ "http://purl.org/spar/fabio/Workflow" ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "TimesNet"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/assertion"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/assertion",
    "http://www.w3.org/ns/prov#wasAttributedTo" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ],
    "http://www.w3.org/ns/prov#wasDerivedFrom" : [ {
      "@id" : "https://doi.org/10.48550/arXiv.2503.07682"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/provenance"
}, {
  "@graph" : [ {
    "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs",
    "http://purl.org/dc/terms/created" : [ {
      "@type" : "http://www.w3.org/2001/XMLSchema#dateTime",
      "@value" : "2026-02-26T15:50:08.769Z"
    } ],
    "http://purl.org/dc/terms/creator" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ],
    "http://purl.org/nanopub/x/hasNanopubType" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult"
    } ],
    "http://www.w3.org/2000/01/rdf-schema#label" : [ {
      "@value" : "LLM-KG assessment for paper 10.48550/arXiv.2503.07682"
    } ]
  }, {
    "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/sig",
    "http://purl.org/nanopub/x/hasAlgorithm" : [ {
      "@value" : "RSA"
    } ],
    "http://purl.org/nanopub/x/hasPublicKey" : [ {
      "@value" : "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB"
    } ],
    "http://purl.org/nanopub/x/hasSignature" : [ {
      "@value" : "JKPy8S63KDFUl92+KjwgclIoG8ep+Mg0sGqa/p/ZOWnFwFDdNNXwzMAgsJZ22NZR1JdazRGDhUgp7MqnJlzGzm9+LGw7s+K4G+V9Ggp65NZTSdUhcVu6Z9PT9QRkV7ajpbYmWNRVLTdkmAvbKM5i9T/FHU72f7T1qiBqRvZbB444asW4C/QBrADc41cEm2PLszWC6RtyjyhCCerdmxowIn+5pyV6m3LJ83XpTMbaJoGYXYGo5naIhyk8Y9qBFPQ7Qoi+QHMxAXipc4DfelTC5FLgYdYn6SOO+HQt7DU1oqv9/wakPKgO95EYDi+t3m0PXIql9sKpjg0N69GNmUPJRg=="
    } ],
    "http://purl.org/nanopub/x/hasSignatureTarget" : [ {
      "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs"
    } ],
    "http://purl.org/nanopub/x/signedBy" : [ {
      "@id" : "https://neverblink.eu/ontologies/llm-kg/agent"
    } ]
  } ],
  "@id" : "https://w3id.org/np/RAKKGOT7NHpmQE2g0yeGw0mjd0H0uI1u-fkSI3Gi31eSs/pubinfo"
} ]