一种包含属性蕴含语义的数据立方体结构  

Data Cube Structure Contained Semantics of Attribute Implication

作　　者：师智斌[1] 高献卫 刘忠宝[1] 

机构地区：[1]中北大学计算机与控制工程学院,太原030051

出　　处：《小型微型计算机系统》2014年第5期1005-1009,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(50976108)资助;山西省自然科学基金项目(2012011011-3)资助

摘　　要：为降低数据立方体结构的复杂度及提高数据立方体的查询效率,深入挖掘数据内部关系,研究包含属性蕴含语义的数据立方体构建和查询技术.通过研究从完整形式背景中获取属性蕴含语义以及由属性蕴含确定概念内涵的方法,提出包含前件是真前提的属性蕴含语义的数据立方体结构:SDC-AI,提出SDC-AI的构建、查询处理和增量维护方法.经过理论分析和实验验证,SDC-AI结构包含所有聚集概念,并记录基本表中的属性蕴含语义,使查询响应时间大大缩小,可用于主流的关系数据库系统.To reduce the complexity and improve the efficientcy in query of the data cube, the data internal relations are digged deeply and reductive data cube and query technologies contained semantics of attribute implication are researched. By studying methods of getting the semantics of attribute implications in complete formal context and obtainning the formal concept intent through attribute im- plication, the SDC-AI that structure of reductive data cube containing attribute implication in which the former is real-Precondition is proposed and methods of construction, query and maintain incrementally of SDC-AI are discussed. Through theoretical analysis and experimental verification, all aggregate concepts and semantics of attribute implication about base table are contained in SDC-AI and query response time can be reduced greatly. In addition, the structure can be used in mainsream of relational database system.

关 键 词：形式概念分析 语义 属性蕴 含真前提 数据立方体 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]