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Título:

Data freshness and data accuracy :a state of the art

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Autor:

Peralta Costabel, Veronika del Carmen

Tutor:

Tipo de documento:

Reporte técnico

Editor:

Palabras clave:

Data freshness
Data accuracy
Data quality evaluation
Data integration systems

Descriptores:

Año de publicación:

2006

Contenido:

Resumen:

In a context of Data Integration Systems (DIS) providing access to large amounts of data extracted and integrated from autonomous data sources, users are highly concerned about data quality. Traditionally, data quality is characterized via multiple quality factors. Among the quality dimensions that have been proposed in the literature, this report analyzes two main ones: data freshness and data accuracy. Concretely, we analyze the various definitions of both quality dimensions, their underlying metrics and the features of DIS that impact their evaluation. We present a taxonomy of existing works proposed for dealing with both quality dimensions in several kinds of DIS and we discuss open research problems.

Descripción:

Editorial:

UR. FI – INCO.

EN:

Reportes Técnicos 06-13

Financiadores:

Citación:

PERALTA COSTABEL, V. "Data freshness and data accuracy : a state of the art". Reportes Técnicos 06-13. UR. FI – INCO, 2006.

Citación:

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URI:

http://hdl.handle.net/20.500.12008/3532

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ISSN:

0797-6410

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Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)

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