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RNTI

MODULAD
Data Freshness Evaluation in Different Application Scenarios
In AEGC 2005, vol. RNTI-E-5, pp.371-379
Abstract
Data freshness has been identified as one of the most important data
quality attributes in information systems. This importance increases especially in
the context of systems that integrate a large set of autonomous data sources. In this
paper we describe a quality evaluation framework which allows evaluation of data
freshness in different architectural contexts. We also show how this quality factor
may impact the reconfiguration of a data integration system to fulfill user
expectations.