  With the emergence of the metaverse and its role in enabling real-time
simulation and analysis of real-world counterparts, an increasing number of
personalized metaverse scenarios are being created to influence entertainment
experiences and social behaviors. However, compared to traditional image and
video entertainment applications, the exact transmission of the vast amount of
metaverse-associated information significantly challenges the capacity of
existing bit-oriented communication networks. Moreover, the current metaverse
also witnesses a growing goal shift for transmitting the meaning behind
custom-designed content, such as user-designed buildings and avatars, rather
than exact copies of physical objects. To meet this growing goal shift and
bandwidth challenge, this paper proposes a goal-oriented semantic communication
framework for metaverse application (GSCM) to explore and define semantic
information through the goal levels. Specifically, we first analyze the
traditional image communication framework in metaverse construction and then
detail our proposed semantic information along with the end-to-end wireless
communication. We then describe the designed modules of the GSCM framework,
including goal-oriented semantic information extraction, base knowledge
definition, and neural radiance field (NeRF) based metaverse construction.
Finally, numerous experiments have been conducted to demonstrate that, compared
to image communication, our proposed GSCM framework decreases transmission
latency by up to 92.6% and enhances the virtual object operation accuracy and
metaverse construction clearance by up to 45.6% and 44.7%, respectively.
