Consistency Checking for Data Mining Metadata Based on Description Logic
Guohua Shen · Journal of Chinese Computer Systems · 2009
The standardization of data mining metadata is a new focus problem in the development of data mining techniques in recent years. Constructing integrative and public data mining metadata is the common aim of data mining manufacturers. During the data mining metadata creation based on common warehouse metamodel (CWM),the evolution of data mining techniques,the different experiences and views of describing data of organizations cause inconsistencies inevitably. However,current data mining metamodal lacks precise semantic due to its description with natural language and graphs. In this research,a formal logic DLRDM that belongs to the family of description logic is proposed. The syntax and semantic of DLRDM are given. It is proved that the reasoning upon DLRDM could be reduced to the consistency checking upon ABox of DLRDM. Formalization upon the metamodal and metadata of data mining is analyzed in detail. The reasoning engine RacerPro is applied to check the consistency upon the data mining metadata,results indicate that DLRDM is correct and effective on consistency checking on data mining metamodel.