Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation - Softcover

Hai, Do Hong

Softcover

ISBN 10: 3865509975 ISBN 13: 9783865509970

Publisher: VDM Verlag Dr. Mueller E.K., 2007

Synopsis

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 today's systems, schema matching is still manual; a time-consuming, tedious, and error-prone process, which becomes increasingly impractical considering the high complexity and number of schemas and data sources to be dealt with. In this book, the author Do Hong Hai describes the architecture, functionality, and evaluation of the schema matching system COMA++ (Combining Matchers), which was developed by himself in his Ph.d thesis. COMA++ represents a generic and customizable system for semi-automatic schema matching, which can combine different match algorithms in a flexible way. In comprehensive evaluations using large real-world schemas and ontologies, COMA++ has shown high quality as compared to the state of the art, proving its practicability for different domains. In addition, the book describes a new data integration approach, GenMapper (Generic Mapper), which utilizes instance-level correspondences between objects of data sources.

About this title

Synopsis

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 today's systems, schema matching is still manual; a time-consuming, tedious, and error-prone process, which becomes increasingly impractical considering the high complexity and number of schemas and data sources to be dealt with. In this book, the author Do Hong Hai describes the architecture, functionality, and evaluation of the schema matching system COMA++ (Combining Matchers), which was developed by himself in his Ph.d thesis. COMA++ represents a generic and customizable system for semi-automatic schema matching, which can combine different match algorithms in a flexible way.

In comprehensive evaluations using large real-world schemas and ontologies, COMA++ has shown high quality as compared to the state of the art, proving its practicability for different domains. In addition, the book describes a new data integration approach, GenMapper (Generic Mapper), which utilizes instance-level correspondences between objects of data sources.

About the Author

Do Hong Hai attended school in Hanoi, Vietnam. Diploma in Computer Science (1998) and an M.A. in German Language and Literature Studies (1999) from University of Leipzig, Germany. In 2006 he finished his Ph.d. thesis on “Schema Matching and Mapping-based Data Integration” in Computer Science under the supervision of Prof. Dr. Erhard Rahm.

Edition details

• Publisher: VDM Verlag Dr. Mueller E.K.
• Publication date: 2007
• Language: English
• ISBN 10: 3865509975
• ISBN 13: 9783865509970
• Binding: Paperback
• Number of pages: 228