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。
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 .
出处
《软件导刊》
2014年第4期102-106,共5页
Software Guide
关键词
本体
商业智能
数据质量
Data Quality
Ontology
Business Intelligence
Report System
