基于ALC的事例库结构及检索研究  

Research on case base's structure and case retrieval based on ALC

作　　者：马林威 古天龙[1] 徐周波[1] 

机构地区：[1]桂林电子科技大学广西可信软件重点实验室,广西桂林541004

出　　处：《桂林电子科技大学学报》2015年第1期44-48,共5页Journal of Guilin University of Electronic Technology

基　　金：国家自然科学基金(61262030);桂林电子科技大学研究生教育创新计划(XJYC2012016)

摘　　要：为了提高基于ALC的事例检索的效率,通过概念距离及LCS推理给出了索引节点密度大且带权重的事例库层次结构,实现了事例更细致的分类及统一概念距离的语义。根据该结构的组织方式、LCS概念及概念距离给出了事例筛选及相似性度量算法,证明了通过事例筛选得到的候选事例集明显减小,采用相似性度量算法能得到合理的候选事例序列,从而提高了基于ALC的事例检索的效率。In order to improve the efficiency of case retrieval based on ALC,a hierarchical structure with density nodes and weights is given through the distance of concepts and LCS reasoning.It can classify cases well and unify the distance of concepts.According to the organizing method of case base,the distance of concepts and LCS concepts,the algorithms of cases filter and similarity measurement are given.It is proven that the size of candidate cases is reduced,the reasonable series of candidate cases are obtained.The efficiency of case retrieval based on ALC is improved.

关 键 词：基于事例的推理 描述逻辑 事例库 事例筛选 相似性度量 ALC 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]