Schema Matching and Mapping
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 da...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2011, 2011
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| Edition: | 1st ed. 2011 |
| Series: | Data-Centric Systems and Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Large-scale and knowledge-driven schema matching. 1. Towards large-scale schema and ontology matching. 2. Interactive techniques to support ontology matching. 3. Enhancing the capabilities of attribute correspondences. 4. Uncertainty in data integration and dataspace support platforms
- Part II: Quality-driven schema mapping and evolution. 5. Discovery and correctness of schema mapping transformations. 6. Recent advances in schema and ontology evolution. 7. Schema mapping evolution through composition and inversion. 8. Mapping-based merging of schemas
- Part III: Evaluating and tuning of matching tasks. 9. On evaluating schema matching and mapping. 10. Tuning for schema matching