Xin Gangtao, Fan Pingyi
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Entropy (Basel). 2022 Dec 17;24(12):1842. doi: 10.3390/e24121842.
Semantic communication is not focused on improving the accuracy of transmitted symbols, but is concerned with expressing the expected meaning that the symbol sequence exactly carries. However, the measurement of semantic messages and their corresponding codebook generation are still open issues. Expansion, which integrates simple things into a complex system and even generates intelligence, is truly consistent with the evolution of the human language system. We apply this idea to the semantic communication system, quantifying semantic transmission by symbol sequences and investigating the semantic information system in a similar way as Shannon's method for digital communication systems. This work is the first to discuss semantic expansion and knowledge collision in the semantic information framework. Some important theoretical results are presented, including the relationship between semantic expansion and the transmission information rate. We believe such a semantic information framework may provide a new paradigm for semantic communications, and semantic expansion and knowledge collision will be the cornerstone of semantic information theory.
语义通信并不专注于提高传输符号的准确性，而是关注表达符号序列所确切承载的预期含义。然而，语义消息的度量及其相应码本的生成仍然是未解决的问题。扩展，即将简单事物整合到复杂系统中甚至产生智能，确实与人类语言系统的进化相一致。我们将这一思想应用于语义通信系统，通过符号序列对语义传输进行量化，并以类似于香农用于数字通信系统的方法来研究语义信息系统。这项工作首次在语义信息框架中讨论了语义扩展和知识冲突。给出了一些重要的理论结果，包括语义扩展与传输信息率之间的关系。我们相信这样的语义信息框架可能为语义通信提供一种新的范式，并且语义扩展和知识冲突将成为语义信息理论的基石。
