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基于本体的商业智能数据质量研究
引用本文:祝衍军,陈俞强.基于本体的商业智能数据质量研究[J].人天科学研究,2014(4):102-106.
作者姓名:祝衍军  陈俞强
作者单位:东莞职业技术学院计算机工程系,广东东莞523808
摘    要:针对商业智能中存在的数据质量问题,提出在应用层使用本体技术来提升数据质量的方法。根据商业智能中大部分应用以报表形式展现的特点,在应用层构建了报表本体库,以指标作为基本单位对应用数据进行清洗和加载,建立了以指标间逻辑关系为基础的数据质量检查机制。应用结果表明,该方法能够解决在应用层引起的各种数据质量问题,提高了数据的可解释性和可信性。

关 键 词:本体  商业智能  数据质量

Research on Ontology-Based Data Quality of Business Intelligence
Abstract:Considing to the data-quality problems existing in business intelligence , the basic causes of the data-quality problems are analyzed deeply ,a method of using ontology technology in the application layer to improve the data-quality is proposed .According to this phenomenon which most applications in business intelligence is the report ,the report ontology library is established on the application layer ,the KPI is used for the basic unit of cleaning and loading the application da-ta ,the data-quality management regulations based on the logic relationship between KPIs is established .The practice shows that the method can solve the data-quality problems caused by various reasons on the application layer ,improve da-ta interpretation and credibility .
Keywords:Data Quality  Ontology  Business Intelligence  Report System
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