Overview
- Comprehensive survey of current and past research on schema matching and mapping
- Up-to-date source of reference about schema and ontology evolution and schema merging
- Scholarly chapters enabling a learning experience to both experts and non-experts, written by leading researchers in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Data-Centric Systems and Applications (DCSA)
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About this book
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.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Large-Scale and Knowledge-Driven Schema Matching
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Front Matter
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Quality-Driven Schema Mapping and Evolution
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Front Matter
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Evaluating and Tuning of Matching Tasks
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Schema Matching and Mapping
Editors: Zohra Bellahsene, Angela Bonifati, Erhard Rahm
Series Title: Data-Centric Systems and Applications
DOI: https://doi.org/10.1007/978-3-642-16518-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-16517-7Published: 13 February 2011
Softcover ISBN: 978-3-642-26717-8Published: 21 April 2013
eBook ISBN: 978-3-642-16518-4Published: 14 February 2011
Series ISSN: 2197-9723
Series E-ISSN: 2197-974X
Edition Number: 1
Number of Pages: XII, 320
Topics: Database Management, Mathematical Logic and Formal Languages, Artificial Intelligence