摘要
随着数据库的广泛应用,数据挖掘技术面临数据的海量化、分布化问题。采用面向服务的架构构造数据挖掘系统是解决该问题的方法之一。提出一种基于领域本体的数据挖掘服务发现算法,通过引入领域知识,定义数据挖掘本体,有效地解决了数据挖掘服务发现问题。首先给出了结合领域知识的数据挖掘服务发现框架,提出了数据挖掘方法本体和质量本体的定义,并给出了根据领域知识及用户需求进行数据挖掘服务发现的算法,为数据挖掘服务选择提供了较为完善的方案。
With the extensive application of database,data mining technology is expected to deal with great deal of data.The data mining system based on SOA is one of the solutions.The paper proposes a data mining services discovery method based on domain ontology.By introducing the domain knowledge and data mining ontology,the paper solves the problem of data mining service discovery.Firstly,the paper proposes the framework of data mining service discovery based on domain knowledge,and defines the ontology of data mining method and ontology of quality.Secondly,the paper presents the arithmetic of data mining service discovery according to domain knowledge and user＇s requirement,which provides a successful solution for service selection of data mining.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第18期150-152,156,共4页
Computer Engineering and Applications
