%0 Journal Article
%T Domain relation learning from events in log ontologies based on hierarchy association rules<br>基于层次关联规则的日志本体事件领域关系学习*
%A SUN Ming
%A CHEN Bo
%A ZHOU Ming-tian
%A <br>孙明
%A 陈波
%A 周明天
%J 计算机应用研究
%D 2009
%I 
%X In order to discover the potential user-access patterns in Web usage records,this paper presented an approach for domain relation learning from events in log ontologies based on hierarchy association rules. This method fixed on the granularity of transactions through the part-whole relation between complex events and atom events in log ontologies, and extended the association rules mining algorithm on the hierarchy of events to discover the candidate frequent usage rules. Domain relations of events could be extracted after refining the redundant and noneffective rules. The experimental results show that this method can enrich the log ontologies and it is quite feasible and effective to solve practical problems.
%K 语义网使用挖掘
%K 日志本体
%K 本体学习
%K 层次关联规则
%K 领域关系
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=AC274EBFC1A453669EEFD7663936F176&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=9E1C1D195CB98FFA&eid=B703A46FA75824E1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=11