Nanopublications

@prefix this: <https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo> .
@prefix sub: <https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@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: np:hasAssertion sub:assertion ;
    np:hasProvenance sub:provenance ;
    np:hasPublicationInfo sub:pubinfo ;
    a np:Nanopublication .
}

sub:assertion {
  <https://doi.org/10.48550/arXiv.2406.17231> dct:title "CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#CogMG> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ChenEtAl2021KBQA> , <https://neverblink.eu/ontologies/llm-kg/methods#InformationExtraction> , <https://neverblink.eu/ontologies/llm-kg/methods#KBBINDER> , <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphCompletion> , <https://neverblink.eu/ontologies/llm-kg/methods#KoPL> , <https://neverblink.eu/ontologies/llm-kg/methods#OpenIE> , <https://neverblink.eu/ontologies/llm-kg/methods#ReActAgentFramework> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#ChenEtAl2021KBQA> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Chen et al. 2021 KBQA Approach" .
  <https://neverblink.eu/ontologies/llm-kg/methods#CogMG> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "CogMG is a collaborative augmentation framework where an LLM acts as an agent to interact with a Knowledge Graph. It involves the LLM decomposing queries for the KG, completing missing knowledge triples using its internal parameters, and then verifying and integrating these new facts into the KG. This continuous feedback loop represents a synergistic reasoning process, where the LLM addresses knowledge gaps in the KG and leverages the enriched KG to improve its factualness in QA." ;
    rdfs:label "CogMG" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#InformationExtraction> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Information Extraction" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KBBINDER> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KB-BINDER" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphCompletion> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Knowledge Graph Completion" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KoPL> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "KoPL" .
  <https://neverblink.eu/ontologies/llm-kg/methods#OpenIE> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "OpenIE" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ReActAgentFramework> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "ReAct Agent Framework" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2406.17231> .
}

sub:pubinfo {
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    rdfs:label "LLM-KG assessment for paper 10.48550/arXiv.2406.17231" .
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