https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/Head https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/assertion https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/provenance https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/pubinfo https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAwysc5gfug22cLl-lDA5v2MPpltkBjEifpt7Y2YeJHRo/assertion https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/dc/terms/title CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#CogMG https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#ChenEtAl2021KBQA https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#InformationExtraction https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KBBINDER https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KnowledgeGraphCompletion https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KoPL https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#OpenIE https://doi.org/10.48550/arXiv.2406.17231 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#ReActAgentFramework https://doi.org/10.48550/arXiv.2406.17231 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#ChenEtAl2021KBQA http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#ChenEtAl2021KBQA http://www.w3.org/2000/01/rdf-schema#label Chen et al. 2021 KBQA Approach https://neverblink.eu/ontologies/llm-kg/methods#CogMG http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#CogMG http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#CogMG http://www.w3.org/2000/01/rdf-schema#comment CogMG is a collaborative augmentation framework where an LLM acts as an agent to interact with a Knowledge Graph. 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