Data Mining Ontology Development for High User Usability

作     者：LI Yu-hua LU Zheng-ding SUN Xiao-lin WEN Kun-mei LI Rui-xuan 

作者机构：College of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074Hubei China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2006年第11卷第1期

页      面：51-56页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foun-dation of China (60403027)  the National Key Technologies R&DProgram of China during the 10th Five-Year Plan Period(2002BA103A04  2001BA102A06-11) 

主　　题：data mining ontology usability universal knowledge grid 

摘      要：This paper mainly introduces the development and implementation of the user centered data mining service ontology on Universal Knowledge Grid （UKG）. UKG is an ontology-based grid architecture model to build large-scale distributed knowledge discovery system on the grid. The data mining ontology services are the main service offering by UKG. It can meet the user requirements of knowledge discovery in different domains and different hierarchies and make the system exoteric, extensible and high usable. A data min- ing solution for money laundering is introduced.