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...
Saved in:
| Main Authors: | Chang Guo, Jiaqi Liu, Wei Gao, Zhenhai Lu, Yao Li, Chengyuan Wang, Jungang Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/8/4575 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large-Language-Model-Enabled Text Semantic Communication Systems
by: Zhenyi Wang, et al.
Published: (2025-06-01) -
Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models
by: Feifan Zhang, et al.
Published: (2025-01-01) -
A mathematical model of semantic access in lexical and semantic decisions
by: Sergio E. Chaigneau, et al.
Published: (2024-12-01) -
Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models
by: Jianyuan Liang, et al.
Published: (2025-04-01) -
Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models
by: Fatemeh Shah-Mohammadi, et al.
Published: (2024-10-01)