扩展AL-log挖掘日志本体的ILP方法  

ILP approach of extending AL-log to mine log ontology

作　　者：孙明[1] 陈波[1] 刘东[1] 周明天[1] 

机构地区：[1]电子科技大学计算机科学与工程学院,成都610054

出　　处：《计算机应用研究》2009年第6期2328-2331,共4页Application Research of Computers

基　　金：国家"十一五"科技支撑计划重大资助项目(2006BAH02A0407);国家自然科学基金资助项目(90604033)

摘　　要：为发现W eb使用记录中所蕴涵的用户访问模式,在深入分析日志本体中事件间的抽象关系后,提出适用于原子事件和复合事件间整分关系推理的ALC传播规则扩展已有的推理模式,并在此基础上提出一种挖掘日志本体的ILP方法。该方法结合描述逻辑和Horn规则在知识表示和推理过程中互补的特点,采用AL-log混合系统构建知识库,利用约束SLD-反驳消解和扩展ALC传播规则从日志本体中学习用户访问模式,达到站点商业智能和个性化的目的。最后给出验证该方法的实例,实验结果表明了该方法的可行性和有效性。In order to discover the user-access patterns in the Web usage records, this paper analyzed the abstract relations between events of log ontology and extended ALC propagation rules for reasoning the part-whole relation between atom events and complex events. Based on the new rules, this paper proposed an ILP approach to mine the log ontology. This approach which integrated description logics and Horn clause rules, adopted AL-log hybrid representation and reasoning system to build the knowledge base, and used constrained SLD-reputation and extended ALC propagation for learning user-access pattern from log ontology. It made business Web sites more intelligence and personalization. The experimental results show that this method can help site owners to create access rules effectively and it is quite feasible to solve practical problems.

关 键 词：语义网使用挖掘 归纳逻辑程序设计 日志本体 AL-log 混合推理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]