Flexible Databases Supporting Imprecision and Uncertainty

This volume collects selected contributions on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date ontributions on "database models t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bordogna, Gloria (Editor ), Psaila, Giuseppe (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Fuzziness and Soft Computing, 203
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Database management.
Mathematics.
Computational intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Database Management.
Applications of Mathematics.
Computational Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:This volume collects selected contributions on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date ontributions on "database models to represent imperfect data". Further, it includes specific contributions on uncertainty management in database integration, and in representing and querying semistructured and spatial data. These topics are of particular relevance nowadays with the diffusion of the internet since, most of the time, applications require information spread across several information sources and their integration may result in inconsistent information. Semistructured information querying often calls for the application of approximate matching techniques, and spatial information is often incomplete and imprecise. Reading this volume can serve as a guide to students for having a panoramic view of the methods to manage uncertainty and imprecision in databases proposed so far, to researchers to focus on the most up to date research trends, and to practitioners for having examples in which current databases incorporate flexible functionalities for the management of uncertainty and imprecision.
Descripción Física:XV, 346 p. online resource.
ISBN:9783540332893
ISSN:1860-0808 ;

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