关键词: 多层本体, 服务质量（QoS）度量, 深度信任网络

Abstract: In response to the problem that sources of index weight assignment in traditional quality evaluation methods are not comprehensive, the service description ontology is divided into two levels（the shared ontology, the exclusive ontology） and QoS ontology with the multilayer structure “abstract-application-metric” is constructed for the object description & data acquisition of QoS metrics. The double-direction metric model DM-QSM based on depth belief network with regression model is established, in which the service description information and similar service history data are used as training sample data set to train DM-QSM forward by combining with user feedback on the DM-QSM reverse tuning, to achieve the adaptive adjustment of indexes weights with user preference degree. Finally, by using the programmable modeling environment NetLogo as the experimental platform, the public service data set QWS as the training sample set and the e-commerce application service as the test sample set, the feasibility and effectiveness of DM-QSM are verified.

Key words: multilayer ontology, Quality of Service（QoS） metrics, depth belief network