Description Logic Based Consistency Checking upon Data Mining Metadata

摘要：

During the process of constructing data mining metadata,the evolution of data mining techniques,the different experiences and views of related organizations inevitably cause inconsistencies.However,current data mining metadata lacks precise semantic due to their description with natural language and graphs,so the automatic consistency checking upon them has not been resolved well.In this paper,a formal logic DLRDM in the description logic family is proposed.Subsequently,a formal reasoning method based on DLRDM is designed to automatically check the consistency of data mining metadata.With the description logic DLRDM,formalization upon the metamodel and metadata of data mining is analyzed in detail.The reasoning engine Racer is applied into the method to check the consistency upon the data mining metadata.Results on the RacerPro reasoning system indicate the method is encouraging.

关键词： Automated reasoning Data mining Metadata Consistency checking Knowledge representation

作者: Xiaodong Zhu Zhiqiu Huang Guohua Shen

作者单位: College of Information Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing,210016,P.R.China

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 475-482

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）