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A Time Series and Reduction based Model for QoS Prediction of Service Ontologies
Conference proceeding

A Time Series and Reduction based Model for QoS Prediction of Service Ontologies

Yunni Xia, Jingjing Lv, Mengchu Zhou, Qingsheng Zhu, Xin Luo and IEEE
2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), pp.501-506
IEEE International Conference on Networking Sensing and Control
01/01/2014

Abstract

Operations Research & Management Science Science & Technology Technology Telecommunications
In this study, we introduce a dynamic framework to predict the runtime QoS ofOWL-S ontologoies by employing an Autoregressive-Moving-Average Model and QoS reduction rules. In the case study of a real-world ontology sample, a comparison between existing approaches and the proposed one is presented and results suggest that the proposed one achieves higher prediction accuracy.

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