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paperback. Condition: 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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paperback. Condition: 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.
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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Condition: New.
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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Condition: New.
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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 53.70
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Schema Matching and Mapping (Data-Centric Systems and Applications)
Book 4 of 12: Data-Centric Systems and ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
£ 11.98 shipping
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Schema Matching and Mapping-based Data Integration
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Einband - flex.(Paperback). Condition: New.
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Schema Matching and Mapping (Data-Centric Systems and Applications)
Book 4 of 12: Data-Centric Systems and ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.31
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 334.
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Condition: 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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Condition: New. pp. 334.
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
ISBN 10: 3642267173 ISBN 13: 9783642267178
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Schema Matching and Mapping provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed information systems requirements. Topics include effective methods for matching data, mapping transformation verification, mapping-driven schema evolution and merging. Editor(s): Bellahsene, Zohra; Bonifati, Angela; Rahm, Erhard. Series: Data-Centric Systems and Applications. Num Pages: 320 pages, biography. BIC Classification: UN; UYM; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 510. . 2013. Paperback. . . . .
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Condition: New. pp. 334.
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Schema Matching and Mapping-based Data Integration : Architecture, Approaches and Evaluation
Language: English
Published by VDM Verlag Dr. Müller Nov 2006, 2006
ISBN 10: 3865509975 ISBN 13: 9783865509970
Taschenbuch. Condition: 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.
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer-Verlag New York Inc, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Hardcover. Condition: Brand New. 326 pages. 9.75x6.50x0.75 inches. In Stock.
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Schema Matching and Mapping-based Data Integration: Architecture, Approaches and Evaluation
Language: English
Published by VDM Verlag Dr. Mueller e.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Paperback. Condition: Like New. Like New. book.
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2011, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Buch. Condition: 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.
-
Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642267173 ISBN 13: 9783642267178
Taschenbuch. Condition: 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.
-
Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsLanguage: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
ISBN 10: 3642267173 ISBN 13: 9783642267178
Condition: New. Schema Matching and Mapping provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed information systems requirements. Topics include effective methods for matching data, mapping transformation verification, mapping-driven schema evolution and merging. Editor(s): Bellahsene, Zohra; Bonifati, Angela; Rahm, Erhard. Series: Data-Centric Systems and Applications. Num Pages: 320 pages, biography. BIC Classification: UN; UYM; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 510. . 2013. Paperback. . . . . Books ship from the US and Ireland.
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Schema Matching and Mapping
Book 4 of 12: Data-Centric Systems and ApplicationsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 144.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Like New. Like New. book.
-
Paperback. Condition: Like New. Like New. book.
-
Condition: As New. Unread book in perfect condition.
-
Schema Matching and Mapping-based Data Integration
Language: English
Published by AV Akademikerverlag Apr 2012, 2012
ISBN 10: 3639401247 ISBN 13: 9783639401240
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
