This book presents a method for database schema matching, the problem of identifying elements of two given schemas that correspond to each other. Schema matching is useful in e-commerce exchanges, in data integration/warehousing, and in Semantic Web applications. It first presents two corpus-based methods: one method is for determining the semantic similarity of two target words and the other is for automatic word segmentation. Then it presents a name-based element-level database schema matching method that exploits both the semantic similarity and the word segmentation methods.