Schema Matching and Mapping

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bellahsene, Zohra (Editor), Bonifati, Angela (Editor), Rahm, Erhard (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
• Series: Data-Centric Systems and Applications
• Subjects: Computer science.; Mathematical logic.; Database management.; Artificial intelligence.; Computer Science.; Database Management.; Mathematical Logic and Formal Languages.; Artificial Intelligence (incl. Robotics).

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...

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.