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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation - Softcover
Inhaltsangabe
The book focuses on Schema Matching, the task of (semi-)automatically identifyingsemantic correspondences between elements of metadata structures,such as, database schemas, ontologies, and XML message formats. It is of keyimportance for interoperability and data integration in numerous applications,such as data warehousing, integration of web-sources, message mappingin 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 consideringthe high complexity and number of schemas and data sources to bedealt 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++ representsa generic and customizable system for semi-automatic schema matching,which can combine different match algorithms in a flexible way. Incomprehensive evaluations using large real-world schemas and ontologies,COMA++ has shown high quality as compared to the state of the art, provingits practicability for different domains. In addition, the book describes anew data integration approach, GenMapper (Generic Mapper), which utilizesinstance-level correspondences between objects of data sources.
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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.
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Schema Matching and Mapping-based Data Integration
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VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975
ISBN 13: 9783865509970
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Schema Matching and Mapping-based Data Integration : Architecture, Approaches and Evaluation
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VDM Verlag Dr. Müller Nov 2006, 2006
ISBN 10: 3865509975
ISBN 13: 9783865509970
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Taschenbuch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9783865509970
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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation
Verlag:
VDM Verlag Dr. Mueller e.K., 2007
ISBN 10: 3865509975
ISBN 13: 9783865509970
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