https://w3id.org/np/RAVx7L-tHl-XheF8kQ7DFRsxgAXPVzXrgK7z_DxuViXWE
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sub:assertion {
<https://doi.org/10.48550/arXiv.2511.11017> a prov:Entity;
dct:title "AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce";
<http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#AiAgentDrivenFramework>;
<http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#BiEtAlCodeKGC>,
<https://neverblink.eu/ontologies/llm-kg/methods#CuiEtAlKGICL>, <https://neverblink.eu/ontologies/llm-kg/methods#GrapherMethod>,
<https://neverblink.eu/ontologies/llm-kg/methods#KommineniEtAlKGPipeline>, <https://neverblink.eu/ontologies/llm-kg/methods#LairgiEtAliText2KG>,
<https://neverblink.eu/ontologies/llm-kg/methods#NingEtAlFactualExtraction>, <https://neverblink.eu/ontologies/llm-kg/methods#XieEtAlPromptKG>,
<https://neverblink.eu/ontologies/llm-kg/methods#XuEtAlProductKGEmbedding>, <https://neverblink.eu/ontologies/llm-kg/methods#YaoEtAlKGLLM>,
<https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAlEDCFramework>, <https://neverblink.eu/ontologies/llm-kg/methods#ZhuEtAlAutoKG> .
<https://neverblink.eu/ontologies/llm-kg/methods#AiAgentDrivenFramework> a <http://purl.org/spar/fabio/Workflow>;
dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction>;
rdfs:comment "This framework uses LLM-powered agents to automate the entire process of Knowledge Graph construction. It involves three main stages: ontology creation and expansion (entity/relation discovery), ontology refinement (schema improvement), and knowledge graph population (instance extraction) from unstructured product descriptions, directly addressing KG construction tasks.";
rdfs:label "AI Agent-Driven Framework";
<https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
<https://neverblink.eu/ontologies/llm-kg/methods#BiEtAlCodeKGC> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "Presented by Bi et al., CodeKGC is a method that employs code LLMs and schema-aware prompts for generative KG tasks, enhanced by rationale-based generation.";
rdfs:label "CodeKGC" .
<https://neverblink.eu/ontologies/llm-kg/methods#CuiEtAlKGICL> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "Proposed by Cui et al., KG-ICL is a method that combines in-context learning with a prompt graph and unified tokenization to achieve strong generalization across various KG tasks.";
rdfs:label "KG-ICL" .
<https://neverblink.eu/ontologies/llm-kg/methods#GrapherMethod> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "Grapher is discussed as a method that generates end-to-end KGs by dividing tasks into entity and relation extraction using pre-trained Language Models.";
rdfs:label "Grapher" .
<https://neverblink.eu/ontologies/llm-kg/methods#KommineniEtAlKGPipeline> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This method is mentioned as a prior LLM-based pipeline that aims to minimize human intervention in KG construction by incorporating competency-question-based ontology generation and LLM-driven evaluation.";
rdfs:label "Kommineni et al.'s Pipeline" .
<https://neverblink.eu/ontologies/llm-kg/methods#LairgiEtAliText2KG> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "Proposed by Lairgi et al., this method is presented as a zero-shot, plug-and-play system for distilling unstructured input into KGs with minimal post-processing.";
rdfs:label "iText2KG" .
<https://neverblink.eu/ontologies/llm-kg/methods#NingEtAlFactualExtraction> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This method by Ning et al. explores factual knowledge extraction for KGs via prompt templates and parameter tuning to improve accuracy.";
rdfs:label "Ning et al.'s Factual Knowledge Extraction" .
<https://neverblink.eu/ontologies/llm-kg/methods#XieEtAlPromptKG> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "Xie et al. introduced PromptKG, a toolkit designed to integrate prompt-learning methods for various Knowledge Graph applications.";
rdfs:label "PromptKG" .
<https://neverblink.eu/ontologies/llm-kg/methods#XuEtAlProductKGEmbedding> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This embedding method, proposed by Xu et al., is tailored for product KGs and uses multimodal data to enhance KG completion and recommendation tasks.";
rdfs:label "Xu et al.'s Embedding Method" .
<https://neverblink.eu/ontologies/llm-kg/methods#YaoEtAlKGLLM> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This method, presented by Yao et al., utilizes entity/relation prompts for triple classification and relation prediction, focusing on Knowledge Graph completion tasks.";
rdfs:label "KG-LLM" .
<https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAlEDCFramework> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This method, proposed by Zhang et al., is discussed as a prior LLM-based approach for automated KG construction, which separates open information extraction, schema creation, and canonicalization.";
rdfs:label "EDC Framework" .
<https://neverblink.eu/ontologies/llm-kg/methods#ZhuEtAlAutoKG> a <http://purl.org/spar/fabio/Workflow>;
rdfs:comment "This framework, introduced by Zhu et al., is discussed as a multi-agent system that combines LLMs with external data for KG construction.";
rdfs:label "AutoKG Framework" .
}
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