CAJ | 학술논문

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。
침대상업지능중존재적수거질량문제，제출재응용층사용본체기술래제승수거질량적방법。근거상업지능중대부분응용이보표형식전현적특점，재응용층구건료보표본체고，이지표작위기본단위대응용수거진행청세화가재，건립료이지표간라집관계위기출적수거질량검사궤제。응용결과표명，해방법능구해결재응용층인기적각충수거질량문제，제고료수거적가해석성화가신성。
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 .