摘要
结合本体和粗糙集理论,提出了一种数据分类分级及保护模型.从业务流程的角度出发对数据进行分类,建立分类数据本体;利用粗糙集理论对数据进行属性约简,并利用规则对约简后的数据进行智能分级,进而对不同等级的数据采取不同的保护措施;还利用粗糙集理论从历史数据中挖掘规则,进行本体学习.以某省电力系统为例进行实验.结果表明,该模型能按照不同单位的特点对数据进行合理分类分级.
A model of data classification and protection is proposed by combination of knowledge ontology and rough set theories.Firstly,the data is classified in accordance with the business processes,and the knowledge ontology of classification is set up.And then,reduction of the attribute of the data is made by using rough set theories,and intelligent classification of the reduced data by using of the rules is done.Different protective measures are taken to different classification data.Furthermore,rough set theories are used to find rules from the historic data,and the knowledge ontology is studied.Finally,an experiment on a power system of a province is done as an example.The results show that the model can reasonably classify the data by the characteristics of different organizations.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2011年第6期921-927,共7页
Journal of Beijing University of Technology
基金
国家“八六三”计划资助项目(2006AA01Z450)
关键词
知识本体
粗糙集
数据分类
本体学习
ontology
rough set
data classification
ontology learning
