关键词: 数据交换, 模式匹配, 可扩展标记语言（XML）, 相似度度量, 多策略组合

Abstract: Schema matching, as finding the semantic correspondence of concepts between different data sources, becomes the hot topic of data integration, data exchange and other areas. Researchers have proposed a number of matching methods, which make it possible to identify and discover the semantic correspondence between the XML data. But XML schema matching has some challenges, such as how to consider the variety of similarity, and how to integrate the similarity so as to make the optimum matching results. In order to improve the quality of XML matching, firstly this paper calculates the similarity of XML nodes and structure from the different levels, gets the similarity matrix, and integrates the similarity measure between these two aspects effectively. Then, this paper fits through a variety of strategies combination and optimization algorithms to make the final matching result achieve global optimum after the effective integration of these two aspects of similarity measure. Finally, compared with the classic schema matching tool, this method has a higher precision and recall rate through the benchmark platform.

Key words: data exchange, schema matching, extensible markup language（XML）, similarity measure, multi-strategy integration