面向语义通信的语义知识库研究综述

摘要：语义知识库是一种可为数据信息提供相关语义知识描述的、结构化的且具备记忆能力的知识网络模型，是语义通信的关键使能技术之一。首先，归纳分析计算机领域语义知识库研究现状，说明知识库在语义信息提取等方面的关键作用；然后，梳理无线通信领域中信源、信道、任务语义知识库的研究现状，揭示语义知识库在语义传输效率提升方面的潜能；最后，分别从多层级构建、动态智能演进、多智能体协同更新3个方面分析了语义传输中语义知识库面临的挑战。对于如何深度融合人工智能与通信技术，创新性地提出多层级语义知识库框架，认为一个跨模态、跨任务、跨环境的知识库的构建是高效语义传输的重点研究方向。

关键词：语义传输；语义知识库；语义信道联合编码；多层级构建；动态演进；多智能体协同

Abstract: The semantic knowledge base is a structured and memorable knowledge network model that can provide relevant semantic knowledge descriptions of data information, and it is one of the key enabling technologies for semantic communications. Firstly, the research status of the semantic knowledge base in the computer field is analyzed, explaining the key role of the knowledge base in semantic information extraction. Then, the research status of the semantic knowledge base for sources, channels, and tasks in the field of wireless communications is sorted out, and the potential of the semantic knowledge base in improving semantic transmission efficiency is revealed. Finally, the new research challenges brought by semantic knowledge base in semantic transmission are analyzed from three aspects: multi-level construction, dynamic intelligent evolution, and multi-agent collaborative update. The multi-level semantic knowledge base framework is innovatively proposed for deeply integrating artificial intelligence and communication technologies. It is believed that building a cross-modal, cross-task, and cross-environment knowledge base is the key research direction of efficient semantic transmission.

Keywords: semantic communication; semantic knowledge base; semantic-channel joint coding; multi-level construction; dynamic evolution;

multi-agent collaboration