%0 Journal Article
%T Research on knowledge cluster based on Bayesian network<br>基于贝叶斯网的知识集群研究
%A LIAO Kai-ji
%A LIU Qi-hui
%A YI Cong
%A LUO Jun-qin
%A <br>廖开际
%A 刘其辉
%A 易聪
%A 罗俊勤
%J 计算机应用研究
%D 2011
%I 
%X To address the limitation of traditional knowledge classification model in knowledge service website, it presents a new concept, called knowledge clusters, based on the online access to the item of knowledge according to the view of clustering behavior in Sociology, because we see the user's access behavior of knowledge as clustering behavior. The paper builds a dynamic model of knowledge aggregation, called knowledge cluster model, by regarding accessed item of knowledge as nodes in the Bayesian network and describing the dependencies between the nodes using the probabilistic reasoning method, and then to form the knowledge aggregation dynamically. At last, this model approach is proved to be feasible and valid through the experimental data.
%K Knowledge Cluster
%K Bayesian Network
%K Knowledge Aggregation
%K Knowledge Item<br>知识集群
%K 贝叶斯网
%K 知识聚合
%K 知识项
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=0D821040DA9F9DEF9A6654006C21F67A&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=E0FF0FB27B45F84E&eid=CE16DE2ABCD4D365&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=17