Editore: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 67,70
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Aggiungi al carrelloCondizione: New. In.
Editore: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 72,24
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Editore: AV Akademikerverlag Apr 2012, 2012
ISBN 10: 3639401247 ISBN 13: 9783639401240
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 68,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Revision with unchanged content. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 228 pp. Englisch.
Editore: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 74,28
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Aggiungi al carrelloEinband - flex.(Paperback). Condizione: New.
Editore: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 63,37
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Aggiungi al carrelloCondizione: New.
Editore: VDM Verlag Dr. Mueller e.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 144,24
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Da: moluna, Greven, Germania
EUR 52,71
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hong Hai DoDo 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 S.
Editore: AV Akademikerverlag Apr 2012, 2012
ISBN 10: 3639401247 ISBN 13: 9783639401240
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 68,00
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. 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. 228 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,00
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. 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.