摘要
本文提出的面向概念的知识获取系统是一个能理解基本逻辑和自然语言的通用知识获取环境。系统结合了人工智能(ai)、面向对象的程序设计(oop)和逻辑程序设计(Lp)等技术。系统以概念为知识基元,由概念描述器(cd)予以描述。cd是一个类框架和类对象 的结构,它由一组概念特性和属性,逻辑约束和函数式等支持。这些特性可由具体的应用而赋于实际的含义。知识库中的概念集是一个层次式的继承网络。另外系统还附有一些语义子系统,如一阶逻辑系统和简单的自然语言系统,用以各种类型的语法检查及知识的冗余、互斥及非一致性检查。系统主要用于辅助专家开发新系统的描述、定义和说明。也可对已有的系统、文件文本进行描述并用于教育。最典型的应用是软件系统和专家系统的开发。
The conceptually oriented design knowledge acquisition system described in this paper is a very general knowledge acquisition environment which understands basic logic and language. The system contains ideas from artificial intellegence (ai), object-oriented programming (oop) and logic programming (Ip). Knowledge is organized into small unit termed conceptual Descriptors (cds) in the system which are analogous to frames in ai or objects in oop. Cds are defined by a number of properties such as attributes, logic constraints and functional equations, and arranged in inheritance hierarchies. There are some semntic subsystems such as a first order logic subsystem and simple natural language subsystem which are used to perform various types of semantic checks and debug logically redundancy, contradication and non-consistence about knowledge. The system is intended to assist in the process of developing descriptions, definitions, or specifications of system under design, or to describe existing system for documentation or teaching purposes. Typical applications would include most kinds of expert system and software system.
出处
《软件学报》
EI
CSCD
北大核心
1991年第4期54-60,共7页
Journal of Software
