With the ever-increasing volume of data and the advent of the information age, virtual database platforms have become essential tools for managing and processing large amounts of data. In the construction of an English-based virtual database platform, the decision tree algorithm, as a widely-used machine learning algorithm, can effectively handle tasks such as data classification, prediction, and decision support. This paper aims to explore the application of the decision tree algorithm in the construction of an English-based virtual database platform and analyze its advantages and challenges.