基于本体带QoS约束的数据挖掘服务选择

Data mining service selection based on ontology and QoS constraint

为提高数据挖掘服务选择的匹配度,提出了一种基于数据挖掘本体的带QoS约束的数据挖掘服务选择方法。方法引入了数据挖掘服务本体,给出了数据挖掘服务描述模型,定义了一种基于数据挖掘本体和QoS约束的数据挖掘服务匹配层次分类方法和服务匹配度计算方法,有效解决了数据挖掘服务选择中服务匹配的问题。实验表明,该方法可行且具有较高的查全率和查准率。

To improve the matching degree of data mining service selection,this paper proposed an ontology-based data mining service selection approach with QoS constraint.Firstly,the paper introduced the ontology of data mining service and data mining service description model.Secondly,the paper defined a classification of data mining service matching degree based on data mining ontology with QoS constraint and the arithmetic of service matching degree,which solved the problem of service matching in data mining service selection.Experimental results show that the approach is feasible and obtains high recall and precision rates.