Semantic communication is not obsessed with improving the accuracy of transmitted symbols, but is concerned with expressing the desired meaning that the symbol sequence exactly carried. However, the generation and measurement of semantic messages are still an open problem. Expansions combine simple things into complex systems and even generate intelligence, which is consistent with the evolution of the human language system. We apply this idea to semantic communication system, quantifying and transmitting semantics by symbol sequences, and investigate the semantic information system in a similar way as Shannon did for digital communication systems. This work was the first to propose the concept of semantic expansion and knowledge collision, which may provide a new paradigm for semantic communications. We believe that expansions and collisions will be the cornerstone of semantic information theory.
翻译:语义通信并不热衷于提高传输符号的准确性,而是关注表达准确传递符号序列的预期含义。然而,语义信息的生成和测量仍然是一个尚未解决的问题。 扩展将简单的事物整合到复杂的系统中,甚至生成与人类语言系统演变相一致的智能。 我们把这个想法应用于语义通信系统,用符号序列量化和传输语义,并以与香农对数字通信系统类似的方式对语义信息系统进行调查。 这项工作是第一个提出语义扩张和知识碰撞概念,这可以为语义通信提供新的范式。 我们相信,扩张和碰撞将成为语义信息理论的基石。