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Add to basketpaperback. 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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Add to basketpaperback. 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.
Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Language: English
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Hardcover. Condition: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2013
ISBN 10: 3642267173 ISBN 13: 9783642267178
Language: English
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Add to basketCondition: 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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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Language: English
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Add to basketCondition: 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. Category: (P) Professional & Vocational. Dimension: 244 x 166 x 25. Weight in Grams: 602. . 2011. Hardback. . . . .
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Add to basketCondition: New. pp. 334.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013
ISBN 10: 3642267173 ISBN 13: 9783642267178
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Add to basketCondition: 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. . . . .
Published by VDM Verlag Dr. Müller Nov 2006, 2006
ISBN 10: 3865509975 ISBN 13: 9783865509970
Language: English
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Add to basketTaschenbuch. 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.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2011
ISBN 10: 3642165176 ISBN 13: 9783642165177
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
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. Category: (P) Professional & Vocational. Dimension: 244 x 166 x 25. Weight in Grams: 602. . 2011. Hardback. . . . . Books ship from the US and Ireland.