摘要
为了解决关系数据库语义支持不充分的问题,以数据库逆向工程技术和描述逻辑为基础提出基于SHOIN+(D)的关系数据库语义化方法,将关系数据库转化为相应的SHOIN+(D)知识库.其中数据库逆向工程技术用来从关系数据中提取ER模型,OWLDL的等价逻辑SHOIN+(D)用来描述获的得的ER模型.文中给出了详细语义化算法并且证明了其语义保持性,并在此基础上设计了相应的语义转换模型,以具体实例验证了该语义化方法的可行性及实用性.
To deal with the semantic lack of relational database, based on the database reverse engineering technology and description logic, this paper proposes a semantic capture method that transforms relational database into SHOIN^＋ （D） knowledge base. Database reverse engineering technology is used to extract ER model from relational database. SHOIN^＋ （D）, which is the logic foundation of OWL DL, describes ER model on knowledge base. This paper gives corresponding transform algorithm and proves its semantic preservation. A transform model is also designed, finally an example is taken to validate the feasibility and practicability of the proposed method.
出处
《微电子学与计算机》
CSCD
北大核心
2008年第4期169-173,共5页
Microelectronics & Computer
关键词
关系数据库
描述逻辑
ER模型
知识库
relational database
description logic
ER model
knowledge base
