摘要
当前6G相关概念并未统一,亟待一致性的认知和定义,学术和产业界对6G的发展全貌和相关领域研究进展缺少清晰认识。为此,构建了6G知识库及知识体系。首先,对现有6G学术文献进行自动化筛选和结构化存储;其次,在对文本数据进行标注和规范化的基础上构建了6G知识库;再次,利用6G知识库实现了对6G全领域的统计分析;利用自然语言处理、深度神经网络和潜在树模型等技术实现对6G知识的抽取和生成。最后,在大模型训练的基础上,面向多样化的服务需求实现按需的知识应用。
At present,the concepts related to 6G have not been unified,and there is an urgent need for consistent cognition and definition.Academics and industries lack a clear understanding of the overall development of 6G and the research progress in related fields.Therefore,the 6G knowledge base and knowledge system was constructed.Firstly,the existing 6G academic documents were automatically screened and stored in a structured way.Secondly,a 6G knowledge base was constructed on the basis of labeling and standardizing text data.In addition,a comprehensive statistical analysis was conducted across all domains of 6G based on the knowledge base and the technologies such as natural language processing,deep neural network and latent tree model were used to realize the extraction and generation of 6G knowledge.Finally,on the basis of large-scale model training,the on-demand knowledge application was realized for diversified service requirements.
作者
沙子凡
承楠
惠一龙
岳文伟
付宇钏
孙瑞锦
SHA Zifan;CHENG Nan;HUI Yilong;YUE Wenwei;FU Yuchuan;SUN Ruijin(State Key Laboratory of Integrated Services Network,Xidian University,Xi’an 710071,China)
出处
《通信学报》
EI
CSCD
北大核心
2023年第9期173-187,共15页
Journal on Communications
基金
国家重点研发计划基金资助项目(No.2020YFB1807700)。
关键词
6G
知识库
知识体系
知识树
按需服务
6G
knowledge base
knowledge system
knowledge tree
on-demand service
