Expert Knowledge Content Database Design Suggestions from Validation Aspect

Ѐva Hajnal
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Abstract

Expert Knowledge Content Database (EKCD) contains small or medium amount of data but its data content is valuable, which can be determined by expert work. Expert work can be a complex measurement, estimation, or data integration. Database design and validation was analyzed in a case study with EKCD Eulakes – Phytoplankton database of Lake Stechlin. Different data quality metrics was calculated and evaluated, and the content based inconsistency was evaluated. In the conclusion a schema is given for helping the design and validation.
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从验证角度提出专家知识内容数据库设计建议
专家知识内容数据库(EKCD)的数据量较小或中等,但其数据内容是有价值的,这可以通过专家的工作来确定。专家工作可以是复杂的测量、估计或数据集成。以斯特克林湖EKCD Eulakes - Phytoplankton数据库为例,分析了数据库的设计与验证。计算和评估了不同的数据质量指标,并评估了基于内容的不一致性。在结论部分给出了一个有助于设计和验证的模式。
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