https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A/Head https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A/assertion https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A/provenance https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A/pubinfo https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAZK0YisdFtrxRuubXzQ7gqYFh3pqarzWkJ4PepyP2R9A/assertion https://doi.org/10.48550/arXiv.2404.04264 http://purl.org/dc/terms/title Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs https://doi.org/10.48550/arXiv.2404.04264 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts https://doi.org/10.48550/arXiv.2404.04264 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#lark https://doi.org/10.48550/arXiv.2404.04264 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#lark http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#lark http://www.w3.org/2000/01/rdf-schema#label LARK https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#logicQueryOfThoughts http://www.w3.org/2000/01/rdf-schema#comment Logic-Query-of-Thoughts (LQOT) is a novel method that integrates LLMs and fuzzy logic-based Knowledge Graph Question Answering (KGQA) to answer complex logic queries. 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