… Abstract—In this paper, we present a probability graph-based semantic information …
employ probability graphs to represent the shared knowledge between the communicating …

… communication and computation design for probability graph-based semantic communication
… ) extracts the compressed small-sized semantic data by removing redundant information …

… graphs, utilizing shared probability graphs between the users and the BS for efficient …
information based on their individual local probability graphs and then transmit the semantic …

… Therefore, we propose a semantic communication system based on the knowledge graph.
Specifically… In summary, the probability of generating a sentence from the received knowledge …

… an NPM into an interpretable symbolic graph written in the … probability to remain silent
instead, and choose an arbitrary UE for a tie. Suppose that UE i has the lower access probability…

… idea of using knowledge graphs to represent prior knowledge … to as knowledge graphbased
semantic communication, which … logical probabilities rather than the statistical probabilities …

… In semantic communication, however, the main objective is to … the probability of successful
delivery of semantic information. … the semantic knowledge graph in communication systems. …

… extract semantic information. Then, we focus on secure semantic communication techniques
… In probability graph, each node represents the semantic entity and the edge stands for the …

… To address this, the BS utilizes semantic communication techniques to compress the data. …
shared probability graphs between the BS and users to enable semantic communication. The …

… , a cognitive semantic communication framework is proposed by exploiting knowledge graph.
… It is assumed that the source randomly transmits a message m with the probability Pr(m). …