The book focuses on Schema Matching, the task of (semi-)automatically identifying semantic correspondences between elements of metadata structures, such as, database schemas, ontologies, and XML message formats. It is of key importance for interoperability and data integration in numerous applications, such as data warehousing, integration of web-sources, message mapping in E-business, and ontology alignment on the Semantic Web. However, in todays systems, schema matching is still manual; a time-consuming, tedious, and error-prone process, which becomes increasingly impractical...
The book focuses on Schema Matching, the task of (semi-)automatically identifying semantic correspondences between elements of metadata structures...