Virtual machine introspection is a method to acquire the information of the target virtual machine, and monitor as well as analyze its running status outside the target virtual machine. Aiming at the problem of poor portability and low efficiency in the process of semantic reconstruction of existing virtual machine introspection method, a sematic reconstruction improvement method is proposed in this study. In this method, constraint conditions are made based on the characteristics of the process structure members, and the offsets of the process structure key members are automatically obtained without knowing the kernel version of the target virtual machine, and the resulting offsets can be provided to the open source or self-developed virtual machine introspection tools to complete the process of semantic reconstruction. The VMOffset prototype system is implemented on the KVM (kernel-based virtual machine) virtualization platform, and the effectiveness and performance of VMOffset are experimentally analyzed based on virtual machines of different kernel version operating systems. The results show that VMOffset can automatically complete the process-level semantic reconstruction process of each target virtual machine, and only introduces the performance loss within 0.05% in the startup phase of the target virtual machine.