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Schema Matching and Mapping

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Bellahsene, Z.; Bonifati, A.; Rahm, E. (eds.)
Schema Matching and Mapping
Springer-Verlag, Data-Centric Systems and Applications
2011-02

Weitere Informationen: http://www.springer.com/computer/book/978-3-642-16517-7,

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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.

Table of contents

Large-Scale and Knowledge-Driven Schema Matching
1. Towards Large-Scale Schema and Ontology Matching (Erhard Rahm)
2. Interactive Techniques to Support Ontology Matching (Sean M. Falconer, Natalya F. Noy)
3. Enhancing the Capabilities of Attribute Correspondences (Avigdor Gal)
4. Uncertainty in Data Integration and Dataspace Support Platforms (Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy)

Part II: Quality-Driven Schema Mapping and Evolution
5. Discovery and Correctness of Schema Mapping Transformations (Angela Bonifati, Giansalvatore Mecca, Paolo Papotti, Yannis Velegrakis)
6. Recent Advances in Schema and Ontology Evolution (Michael Hartung, James Terwilliger, Erhard Rahm)
7. Schema Mapping Evolution Through Composition and Inversion (Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan)
8. Mapping-Based Merging of Schemas (Rachel Pottinger)

Part III: Evaluating and Tuning of Matching Tasks
9. On Evaluating Schema Matching and Mapping (Zohra Bellahsene, Angela Bonifati, Fabien Duchateau, Yannis Velegrakis)
10. Tuning for Schema Matching (Zohra Bellahsene, Fabien Duchateau)