The Method of Constructing Knowledge Graph Based on the Trajectory of Counterfeit Cigarette and Wine Sales Data

Chunjun Zheng; Ning Jia; Yingqiu Li; Yanxin Xu; Jianbo Zhou

doi:10.2991/978-94-6463-262-0_118

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The Method of Constructing Knowledge Graph Based on the Trajectory of Counterfeit Cigarette and Wine Sales Data

Authors

Chunjun Zheng¹^{, *}, Ning Jia¹, Yingqiu Li¹, Yanxin Xu², Jianbo Zhou²

¹School of Software, Dalian Neusoft University of Information, Dalian, China

²Hikvision Digital Technology Co. Ltd, Hangzhou, China

^*Corresponding author. Email: zhengchunjun@neusoft.edu.cn

Corresponding Author

Chunjun Zheng

Available Online 9 October 2023.

DOI: 10.2991/978-94-6463-262-0_118 How to use a DOI?
Keywords: Knowledge Graph; Trajectory of Counterfeit Cigarette and Wine; Neo4j
Abstract: In recent years, knowledge graph has gradually developed from the traditional knowledge analysis application to the application of social entities and relationships. In this paper, the application of knowledge graph to sales data relationships is studied, and the data source is obtained by taking the sales data relationship related to counterfeit tobacco and alcohol as an example. We built the relationship between sales data related to fake cigarettes and alcohol through data pre-processing, data governance, population identification of fake cigarettes and alcohol, information extraction, etc. We used the Neo4j database for storage and built the knowledge graph of the relationship between sales data related to fake cigarettes and alcohol. The experimental verification shows that based on the real information of fake cigarettes and alcohol, we can achieve a visual display of sales data and relationship information.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series: Atlantis Highlights in Engineering
Publication Date: 9 October 2023
ISBN: 10.2991/978-94-6463-262-0_118
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-262-0_118 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Chunjun Zheng
AU  - Ning Jia
AU  - Yingqiu Li
AU  - Yanxin Xu
AU  - Jianbo Zhou
PY  - 2023
DA  - 2023/10/09
TI  - The Method of Constructing Knowledge Graph Based on the Trajectory of Counterfeit Cigarette and Wine Sales Data
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 1160
EP  - 1168
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_118
DO  - 10.2991/978-94-6463-262-0_118
ID  - Zheng2023
ER  -

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