摘要
数据模型的智能化扩充旨在从数据模型着手，提高数据库系统的性能与功能，使其可存贮和处理复杂对象和知识，增强结构和行为的建模能力、语义构造能力，能演绎推理．本文承接此思路，基于面向对象方法，吸收语义数据模型和人工智能中的演绎推理机制，提出一个面向对象的知识数据库模型．讨论其基本概念与性质、查询语言、与传统模型的比较和实验系统ＯＣＥＡＮＳ的体系结构及实现方案．
Data model is the foundation of the intelligent Database Systems. The Research of intelligent Extension of Data Models is aiming at improving the performance and functions of database systems from the root of data models, so that they can handle knowledge objects, capture more semantics of the application, and have the ability of deduction. In this paper, an Object-Oriented Knowledge - Database Model is presented.The concepts and characteristics, definition and manipulation language frame and architecture of the experimental system OCEANS are discussed in detail.
出处
《软件学报》
EI
CSCD
北大核心
1994年第4期9-18,共10页
Journal of Software
关键词
数据库
面向对象
知识数据库
模型
atabase
object-oriented
knowledge-database model.
