Proceedings of the 5th International Conference on E-Commerce and Internet Technology, ECIT 2024, March 15–17, 2024, Changsha, China

Research Article

Research on the method of constructing knowledge graph for e-commerce agricultural products

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346179,
        author={Hongyi  Chi and Junhui  Wu and Jianglong  Liu and Zixi  Chen and Jue  Gong},
        title={Research on the method of constructing knowledge graph for e-commerce agricultural products},
        proceedings={Proceedings of the 5th International Conference on E-Commerce and Internet Technology, ECIT 2024, March 15--17, 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={ECIT},
        year={2024},
        month={5},
        keywords={knowledge graph; agricultural e-commerce},
        doi={10.4108/eai.15-3-2024.2346179}
    }
    
  • Hongyi Chi
    Junhui Wu
    Jianglong Liu
    Zixi Chen
    Jue Gong
    Year: 2024
    Research on the method of constructing knowledge graph for e-commerce agricultural products
    ECIT
    EAI
    DOI: 10.4108/eai.15-3-2024.2346179
Hongyi Chi1, Junhui Wu2,*, Jianglong Liu1, Zixi Chen1, Jue Gong1
  • 1: School of Electronic and Information Engineering Tongji University
  • 2: National Engineering Research Center of Protected Agriculture Tongji University
*Contact email: junhui_wu@163.com

Abstract

The traditional e-commerce agricultural products information service has problems such as insufficient information mining and correlation, and inability to meet users' deep needs. From the user's information needs, this paper proposes the application of knowledge mapping technology to extract and fuse unstructured data, to achieve deep mining and association of heterogeneous e-commerce agricultural products and user comment data from multiple sources, to solve the problem of poor information between supply and demand, and at the same time, to take tea as an example of designing the construction method of e-commerce agricultural products knowledge mapping