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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/3532 How to cite
Title: Data freshness and data accuracy :a state of the art
Authors: Peralta Costabel, Veronika del Carmen
Type: Reporte técnico
Keywords: Data freshness, Data accuracy, Data quality evaluation, Data integration systems
Issue Date: 2006
Abstract: 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.
Publisher: UR. FI – INCO.
Series or collection: Reportes Técnicos 06-13
ISSN: 0797-6410
Citation: PERALTA COSTABEL, V. "Data freshness and data accuracy : a state of the art". Reportes Técnicos 06-13. UR. FI – INCO, 2006.
License: Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
Appears in Collections:Reportes Técnicos - Instituto de Computación

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