A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication
This study presents a knowledge graph construction scheme leveraging large language models (LLMs) for task-oriented semantic communication systems. The proposed methodology systematically addresses four critical stages: corpus collection, entity extraction and relationship analysis, knowledge base g...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/8/4575 |
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| author | Chang Guo Jiaqi Liu Wei Gao Zhenhai Lu Yao Li Chengyuan Wang Jungang Yang |
| author_facet | Chang Guo Jiaqi Liu Wei Gao Zhenhai Lu Yao Li Chengyuan Wang Jungang Yang |
| author_sort | Chang Guo |
| collection | DOAJ |
| description | This study presents a knowledge graph construction scheme leveraging large language models (LLMs) for task-oriented semantic communication systems. The proposed methodology systematically addresses four critical stages: corpus collection, entity extraction and relationship analysis, knowledge base generation, and dynamic updating mechanisms. It is worth noting that prompt engineering is combined with few-shot learning to enhance reliability and accuracy in this methodology. Experimental demonstration showed that this methodology had superior entity extraction performance, achieving 89.7% precision and 92.3% recall rate. This scheme overcomes the demand for domain knowledge and the labor cost of traditional knowledge base construction schemes. It greatly improves the construction efficiency of knowledge graphs. This paper provides an efficient and reliable task knowledge base construction scheme for task-oriented semantic communication, which is expected to promote its wider application. |
| format | Article |
| id | doaj-art-04d65660a1304ff8babc9c2d013c974d |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-04d65660a1304ff8babc9c2d013c974d2025-08-20T03:14:17ZengMDPI AGApplied Sciences2076-34172025-04-01158457510.3390/app15084575A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic CommunicationChang Guo0Jiaqi Liu1Wei Gao2Zhenhai Lu3Yao Li4Chengyuan Wang5Jungang Yang6College of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaCollege of Information and Communication, National University of Defense Technology, Wuhan 430030, ChinaThis study presents a knowledge graph construction scheme leveraging large language models (LLMs) for task-oriented semantic communication systems. The proposed methodology systematically addresses four critical stages: corpus collection, entity extraction and relationship analysis, knowledge base generation, and dynamic updating mechanisms. It is worth noting that prompt engineering is combined with few-shot learning to enhance reliability and accuracy in this methodology. Experimental demonstration showed that this methodology had superior entity extraction performance, achieving 89.7% precision and 92.3% recall rate. This scheme overcomes the demand for domain knowledge and the labor cost of traditional knowledge base construction schemes. It greatly improves the construction efficiency of knowledge graphs. This paper provides an efficient and reliable task knowledge base construction scheme for task-oriented semantic communication, which is expected to promote its wider application.https://www.mdpi.com/2076-3417/15/8/4575large language modeltask knowledge basesemantic communication |
| spellingShingle | Chang Guo Jiaqi Liu Wei Gao Zhenhai Lu Yao Li Chengyuan Wang Jungang Yang A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication Applied Sciences large language model task knowledge base semantic communication |
| title | A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication |
| title_full | A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication |
| title_fullStr | A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication |
| title_full_unstemmed | A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication |
| title_short | A Large Language Model Driven Knowledge Graph Construction Scheme for Semantic Communication |
| title_sort | large language model driven knowledge graph construction scheme for semantic communication |
| topic | large language model task knowledge base semantic communication |
| url | https://www.mdpi.com/2076-3417/15/8/4575 |
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