%0 Journal Article
%T A CLUSTERING ALGORITHM FOR DECOMPOSITION OF PROBABILISTIC LOGIC FORMULA SET<br>自然语言中时间信息的模型化
%A GUO Hong-lei
%A YAO Tianshun
%A <br>郭宏蕾
%A 姚天顺
%J 软件学报
%D 1997
%I 
%X In order that the probabilistic logic reasoning under uncertainty can be used for large scale knowledge base, this paper presents a clustering algorithm for decomposition of probabilistic logic formula set based on the general consistence assigning algorithm for probabilistic logic and the experience of developing the knowledge base in an practical expert system. It ensures that the united model of Dantzig Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge base with different background, provided the formula set hold certain hierarchical structure. Experiments show that the algorithm performs successfully on instances with dozens of variables and clauses.
%K Probabilistic logic
%K consistency
%K decomposition algorithm
%K clustering
%K expert system
%K probabilistic reasoning<br>自然语言理解
%K 多语翻译
%K 人机系统
%K 时间语义
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=9C7BF57A65DB14E9C8400FE7B4F1D96B&yid=5370399DC954B911&vid=5D311CA918CA9A03&iid=B31275AF3241DB2D&sid=4BEA9A781F286FC6&eid=78976D931AD1540F&journal_id=1000-9825&journal_name=软件学报&referenced_num=3&reference_num=4