@inproceedings{09d53b0fcee64d6e9294de2d64c41177,
title = "A time series and reduction based model for QoS prediction of service ontologies",
abstract = "In this study, we introduce a dynamic framework to predict the runtime QoS of OWL-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.",
author = "Yunni Xia and Jingjing Lv and Mengchu Zhou and Qingsheng Zhu and Xin Luo",
year = "2014",
doi = "10.1109/ICNSC.2014.6819677",
language = "English (US)",
isbn = "9781479931064",
series = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",
publisher = "IEEE Computer Society",
pages = "501--506",
booktitle = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",
address = "United States",
note = "11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 ; Conference date: 07-04-2014 Through 09-04-2014",
}