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This dissertation addresses the problem of§semi-automatically creating schema mappings. The need§for developing schema mappings is a pervasive problem§in many integration scenarios. Although the problem§is well-known and a large body of work exists in the§area, the development of schema mappings is today§largely performed manually in industrial integration§scenarios. In this thesis an approach for the§semi-automatic creation of schema mappings based on a§central ontology is developed. The central ontology§stores domain as well as integration knowledge. Using§this ontology as a basis, schema mappings of high§quality can be created automatically. In summary, the§presented results show that by exploiting background§knowledge automatic schema mapping can be developed§to a level where it is applicable in complex§industrial scenarios. Furthermore, novel knowledge§collection approaches complimenting the mapping§approach by presenting non-intrusive methods for§collecting the required background knowledge from§business users are presented.