%0 Journal Article
%T Construction Approach for Bayesian Network-Based Service Context Recognition Model<br>基于贝叶斯网络的业务上下文认知模型构建方法
%A Qiao Xiu-quan
%A Li Xiao-feng
%A Liao Jian-xin
%A <br>乔秀全
%A 李晓峰
%A 廖建新
%J 电子与信息学报
%D 2008
%I 
%X The process of service context information is the foundation of future ubiquitous convergent telecommunication services intelligence. Uncertainty is an unavoidable problem of service context information process. In this article, based on Bayesian network theory, one construction approach for service context recognition model of supporting uncertainty reasoning is presented to resolve the convergence and classification of uncertain service context information. Furthermore, the rationality and usability of this model are verified by simulations.
%K Telecommunication service intelligence
%K Service context recognition
%K Bayesian network
%K Uncertainty reasoning
%K Context reasoning<br>电信业务智能化
%K 业务上下文认知
%K 贝叶斯网络
%K 不确定性推理
%K 上下文推理
%K 贝叶斯网络
%K 业务智能化
%K 上下文信息
%K 认知模型
%K 构建方法
%K Model
%K Recognition
%K Context
%K Service
%K Bayesian
%K Approach
%K 合理性
%K 实验验证
%K 仿真
%K 聚类
%K 不确定性推理
%K 支持
%K 网络理论
%K 利用
%K 问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=BBB154EE2D6445A568354F09C04A2B6E&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=1A033C02510EFBE6&eid=98494933359B55EC&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7