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Schema Matching and Mapping

By: Zohra Bellahsene (Editor), Angela Bonifati (Editor), Erhard Rahm (Editor)

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Hardcover | 13 February 2011

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334 Pages

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23.39 x 15.6 x 1.91

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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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Non-Fiction Business & Management Business Mathematics & Systems Computing & I.T.Databases Computer Science Artificial Intelligence Mathematics Mathematical Foundation Mathematical Logic

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Paperback

Published: 21st April 2013

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Large-Scale and Knowledge-Driven Schema Matching
Towards Large-Scale Schema and Ontology Matching	p. 3
Interactive Techniques to Support Ontology Matching	p. 29
Enhancing the Capabilities of Attribute Correspondences	p. 53
Uncertainty in Data Integration and Dataspace Support Platforms	p. 75
Quality-Driven Schema Mapping and Evolution
Discovery and Correctness of Schema Mapping Transformations	p. 111
Recent Advances in Schema and Ontology Evolution	p. 149
Schema Mapping Evolution Through Composition and Inversion	p. 191
Mapping-Based Merging of Schemas	p. 223
Evaluating and Tuning of Matching Tasks
On Evaluating Schema Matching and Mapping	p. 253
Tunning for Schema Matching	p. 293
Index	p. 317
Table of Contents provided by Ingram. All Rights Reserved.

Schema Matching and Mapping

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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