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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bellahsene, Zohra (Editor ), Bonifati, Angela (Editor ), Rahm, Erhard (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Data-Centric Systems and Applications,
Temas:
Database management.
Machine theory.
Artificial intelligence.
Database Management.
Formal Languages and Automata Theory.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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