Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits
Fully understand the development of suppliers in order to make better supplier selection. This paper is based on the knowledge graph, through the knowledge updating of the knowledge graph combined with the Transformer model for knowledge extraction of supplier entity relationship, forming the ternar...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
|
| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns-2024-0035 |
| _version_ | 1797303170329739264 |
|---|---|
| author | Li Jinxia Bian Huaxing Wen Fuguo Hu Tianmu |
| author_facet | Li Jinxia Bian Huaxing Wen Fuguo Hu Tianmu |
| author_sort | Li Jinxia |
| collection | DOAJ |
| description | Fully understand the development of suppliers in order to make better supplier selection. This paper is based on the knowledge graph, through the knowledge updating of the knowledge graph combined with the Transformer model for knowledge extraction of supplier entity relationship, forming the ternary semantic information of supplier entity relationship. Then, based on the big data platform for the construction of supplier holographic portrait and knowledge storage, through information integration, analysis and other links to identify the supplier attributes for label definition. Taking cell phone product suppliers as an example, we use Python technology to obtain relevant data and validate the specific role of supplier holographic portrait in terms of the supplier’s comprehensive strength, behavioral prediction, transaction closeness, and comprehensive evaluation. The results show that: the correlation between the comprehensive strength of suppliers and the amount of winning bids is strong, and its R2 test result is 0.5924, and it can realize the behavioral prediction of suppliers in the supply chain. Supplier H offers a range of cell phone products in 2022, which is 17.62%<unk>21.17% higher than the benchmark market price. The holographic portrait of suppliers based on a knowledge graph combined with a big data platform can meet the need to carry out an all-around analysis of suppliers and provide more accurate support for diversified decision-making on the demand side. |
| first_indexed | 2024-03-07T23:49:06Z |
| format | Article |
| id | doaj.art-678d974906ce4f54b101ce80f6e48fdd |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-07T23:49:06Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-678d974906ce4f54b101ce80f6e48fdd2024-02-19T09:03:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0035Knowledge Graph-based Diversity Analysis of Supplier Holographic PortraitsLi Jinxia0Bian Huaxing1Wen Fuguo2Hu Tianmu31State Grid Jiangsu Electric Power Co., Ltd. Materials Branch, Nanjing, Jiangsu, 210036, China.1State Grid Jiangsu Electric Power Co., Ltd. Materials Branch, Nanjing, Jiangsu, 210036, China.1State Grid Jiangsu Electric Power Co., Ltd. Materials Branch, Nanjing, Jiangsu, 210036, China.2Jiangsu Electric Power Information Technology Co., Ltd., Nanjing, Jiangsu, 210000, China.Fully understand the development of suppliers in order to make better supplier selection. This paper is based on the knowledge graph, through the knowledge updating of the knowledge graph combined with the Transformer model for knowledge extraction of supplier entity relationship, forming the ternary semantic information of supplier entity relationship. Then, based on the big data platform for the construction of supplier holographic portrait and knowledge storage, through information integration, analysis and other links to identify the supplier attributes for label definition. Taking cell phone product suppliers as an example, we use Python technology to obtain relevant data and validate the specific role of supplier holographic portrait in terms of the supplier’s comprehensive strength, behavioral prediction, transaction closeness, and comprehensive evaluation. The results show that: the correlation between the comprehensive strength of suppliers and the amount of winning bids is strong, and its R2 test result is 0.5924, and it can realize the behavioral prediction of suppliers in the supply chain. Supplier H offers a range of cell phone products in 2022, which is 17.62%<unk>21.17% higher than the benchmark market price. The holographic portrait of suppliers based on a knowledge graph combined with a big data platform can meet the need to carry out an all-around analysis of suppliers and provide more accurate support for diversified decision-making on the demand side.https://doi.org/10.2478/amns-2024-0035knowledge graphtransformer modelknowledge extractionsupplierholographic portrait00a73 |
| spellingShingle | Li Jinxia Bian Huaxing Wen Fuguo Hu Tianmu Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits Applied Mathematics and Nonlinear Sciences knowledge graph transformer model knowledge extraction supplier holographic portrait 00a73 |
| title | Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits |
| title_full | Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits |
| title_fullStr | Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits |
| title_full_unstemmed | Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits |
| title_short | Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits |
| title_sort | knowledge graph based diversity analysis of supplier holographic portraits |
| topic | knowledge graph transformer model knowledge extraction supplier holographic portrait 00a73 |
| url | https://doi.org/10.2478/amns-2024-0035 |
| work_keys_str_mv | AT lijinxia knowledgegraphbaseddiversityanalysisofsupplierholographicportraits AT bianhuaxing knowledgegraphbaseddiversityanalysisofsupplierholographicportraits AT wenfuguo knowledgegraphbaseddiversityanalysisofsupplierholographicportraits AT hutianmu knowledgegraphbaseddiversityanalysisofsupplierholographicportraits |