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Hierarchical Knowledge Graph Construction from Images for Scalable E-Commerce

arXiv 2410.21237 ↗First posted 28 Oct 2024cs.AIcited by 0

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Abstract (arXiv)

Knowledge Graph (KG) is playing an increasingly important role in various AI systems. For e-commerce, an efficient and low-cost automated knowledge graph construction method is the foundation of enabling various successful downstream applications. In this paper, we propose a novel method for constructing structured product knowledge graphs from raw product images. The method cooperatively leverages recent advances in the vision-language model (VLM) and large language model (LLM), fully automating the process and allowing timely graph updates. We also present a human-annotated e-commerce product dataset for benchmarking product property extraction in knowledge graph construction. Our method outperforms our baseline in all metrics and evaluated properties, demonstrating its effectiveness and bright usage potential.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 19 of its 39 references that are in the map. First posted on arXiv 28 Oct 2024.

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19 of 39 references.

References · 19

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7 more
  1. 2020RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classificationcited by 27
  2. 2023Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMscited by 24
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  4. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  5. 2024Automated Construction of Theme-specific Knowledge Graphscited by 15
  6. 2024Automatic Knowledge Graph Construction for Judicial Casescited by 3
  7. 2019AliMe KBQA: Question Answering over Structured Knowledge for E-commerce Customer Servicecited by 2

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  1. 2026AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Construction
  2. 2025AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce
  3. 2026Adapting Vision-Language Models for E-commerce Understanding at Scale
  4. 2023PUMGPT: A Large Vision-Language Model for Product Understanding
  5. 2025LLM-empowered knowledge graph construction: A survey
  6. 2025MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
  7. 2024Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
  8. 2026VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings