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Ajouter au panierpaperback. Etat : Very Good. Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Ajouter au panierpaperback. Etat : Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
Langue: anglais
Edité par VDM Verlag Dr. Mueller E.K., 2007
ISBN 10 : 3865509975 ISBN 13 : 9783865509970
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Edité par VDM Verlag Dr. Mueller E.K., 2007
ISBN 10 : 3865509975 ISBN 13 : 9783865509970
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Langue: anglais
Edité par VDM Verlag Dr. Mueller E.K., 2007
ISBN 10 : 3865509975 ISBN 13 : 9783865509970
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Langue: anglais
Edité par VDM Verlag Dr. Mueller E.K., 2007
ISBN 10 : 3865509975 ISBN 13 : 9783865509970
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Ajouter au panierEtat : New. pp. 334.
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Ajouter au panierEtat : New. pp. 334 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Ajouter au panierEtat : New. pp. 334.
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Ajouter au panierEtat : New. pp. 334.
Langue: anglais
Edité par Springer-Verlag New York Inc, 2011
ISBN 10 : 3642165176 ISBN 13 : 9783642165177
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Ajouter au panierHardcover. Etat : Brand New. 326 pages. 9.75x6.50x0.75 inches. In Stock.
Langue: anglais
Edité par VDM Verlag Dr. Mueller e.K., 2007
ISBN 10 : 3865509975 ISBN 13 : 9783865509970
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Langue: anglais
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2011, 2011
ISBN 10 : 3642165176 ISBN 13 : 9783642165177
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Ajouter au panierBuch. Etat : Neu. Neuware -Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation.The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field.With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2011
ISBN 10 : 3642165176 ISBN 13 : 9783642165177
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field.With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2013
ISBN 10 : 3642267173 ISBN 13 : 9783642267178
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation. The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field.With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par AV Akademikerverlag Apr 2012, 2012
ISBN 10 : 3639401247 ISBN 13 : 9783639401240
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : moluna, Greven, Allemagne
EUR 52,71
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par AV Akademikerverlag Apr 2012, 2012
ISBN 10 : 3639401247 ISBN 13 : 9783639401240
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 68
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Schema Matching and Mapping-based Data Integration | Architecture, Approaches and Evaluation | Do Hong Hai | Taschenbuch | 228 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639401240 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.