The User-centered Data Mining Ontology Development on Universal Knowledge Grid
基于质量的数据挖掘服务选择

In the service-sriented data mining system,the Data Mining(DM)algorithms are packed to Web services.User can define DM task by selecting proper Data Mining Service(DMS),but most users haven't such professional knowledge.One service selection mechanism is needed to help user selecting high quality DMS in view of user usability.A more all-around DMS Quality Evaluation ontology(OntDMQ)is proposed by synthesizing Web service quality of services(QoS),DM unique characteristic,subjective factor such as user feedback and service dynamic characteristic.The evaluation method of QoS is discussed.The QoS-based dynamic service selection method is presented that user can define the QoS constraint of DMS referencing OntQE and adjust the factor fff,the system select the most appropriate DMS in the services fiting the user requirements according to computing compositive quality value.