Research on the quality of data in a structural calculation document (SCD) is lacking, although the SCD of a bridge is used as an essential reference during the entire lifecycle of the facility. XML Schema matching enables qualitative improvement of the stored data. This study aimed to enhance the applicability of XML Schema matching, which improves the speed and quality of information stored in bridge SCDs. First, the authors proposed a method of reducing the computing time for the schema matching of bridge SCDs. The computing speed of schema matching was increased by 13 to 1800 times by reducing the checking process of the correlations. Second, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision tree. The decision tree model was built using the content elements stored in the SCD, design companies, bridge types, and weight factors as input variables, and the matching accuracy as the target variable. The inverse-calculation method was applied to extract the weight factors from the decision tree model for high-accuracy schema matching results.

尽管在建筑物的整个生命周期中都将桥梁的SCD用作必不可少的参考，但仍缺乏对结构计算文档（SCD）中数据质量的研究。XML模式匹配可对存储的数据进行质量改进。这项研究旨在增强XML Schema匹配的适用性，从而提高桥接SCD中存储的信息的速度和质量。首先，作者提出了一种减少桥SCD模式匹配计算时间的方法。通过减少相关性的检查过程，模式匹配的计算速度提高了13到1800倍。其次，作者开发了一种启发式解决方案，通过引入决策树来选择匹配过程中使用的最佳权重因子，以保持较高的准确性。决策树模型是使用存储在SCD中的内容元素，设计公司，桥梁类型和权重因子作为输入变量以及匹配精度作为目标变量来构建的。应用逆计算方法从决策树模型中提取权重因子，以获得高精度的方案匹配结果。