Abstract: In data exchange and storage processes, XML and JSON are two commonly used standardized data formats. Due to the efficiency of JSON in data transmission, it has become the dominant standard format. However, there is still a lack of a simple, practical, and universal solution for high-precision and flexible conversion from XML to JSON. This paper proposes an efficient conversion framework based on the structural characteristics of XML and JSON documents, addressing the challenges of syntax and semantic mapping. We encapsulate this method into a toolkit for use by researchers and engineers, facilitating the rapid and high-quality conversion from XML to JSON. The proposed method is validated through clinical ECG data, demonstrating its effectiveness in handling complex datasets. By carefully analyzing the structural differences between XML and JSON formats, we designed an efficient conversion process that not only improves conversion accuracy but also enhances operational flexibility, making it adaptable to various data types and application scenarios. Experimental results show that this framework delivers significant performance advantages when processing medical data and other complex datasets, providing new solutions for data sharing and application. This study lays the theoretical foundation and practical guidance for the application of similar data format conversion technologies in different fields, with broad prospects for further promotion.

Key words: data mapping, data format conversion, data exchange and transmission, document structure parsing, multi-format adaptation

摘要： 在数据交换和存储过程中，XML和JSON是两种常见的标准化数据格式。由于JSON在数据传输中的高效性，它已成为主流的标准格式。然而，当前在实现XML到JSON的高精度、灵活转换时，仍缺乏简便而通用的解决方案。本文提出了一种基于XML和JSON文档结构特征的高效转换框架，针对语法与语义映射中的挑战，提出了优化的方法。我们将该方法封装为工具包，供研究人员与工程师使用，便于快速实现XML到JSON的高质量转换。本研究通过临床心电数据的验证，展示了该方法在处理复杂数据集时的良好效果。我们的方法通过细致分析XML与JSON格式的元素结构差异，设计了一个高效的转换流程，不仅提高了转换精度，还增强了操作的灵活性，能够适应不同类型数据和多样化应用场景。实验结果表明，该框架在处理医疗数据及其他复杂数据集时，表现出了显著的性能优势，为数据共享和应用提供了新的解决方案。该研究为类似数据格式转换技术在不同领域的应用提供了理论基础和实践指导，具有广泛的推广前景。

关键词: 数据映射, 数据格式转换, 数据交换与传输, 文档结构解析, 多格式适配