Information Framework Expansion Meets Knowledge Collision for Semantic Communications

With the development of large-scale intelligent services, semantic communication has attracted significant interest from both academia and industry, which is expected to transmit valuable data traffic at sufficiently high speed with extremely low end-to-end latency. However, the generation and measurement of semantic messages is still an open problem. On the other hand, expansion which combines simple things into complex systems and even generates intelligence, is consistent with the evolution of human civilization and language systems. Motivated by this key idea, we apply it to semantic communication systems, measuring semantics carried by symbol sequences, and similarly investigate the semantic information system 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 expansion and collision will be the cornerstone of semantic information theory.