摘要: Producing reliable information is the ultimate goal of data processing. The ocean created with advances science and technologies calls for integration coming from heterogeneous sources that are diverse in their purposes, business rules, underlying models enabling technologies. Reference models, Semantic Web, standards, ontology, other enable fast efficient merging data, while reliability produced largely defined by how well represent reality. In this paper, we initiate a framework assessing informational value includes dimensions; aligning quality practices; identifying authoritative keys; models; uniting updates varying frequency overlapping or gapped sets.
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