一种基于概念的知识表达体系  

A Concept-based Knowledge Representation System

作　　者：高一波[1] 

机构地区：[1]中国科学院自动化研究所,北京100080

出　　处：《微电子学与计算机》2004年第9期71-74,共4页Microelectronics & Computer

基　　金：国家"973"计划资助项目(G19980305)

摘　　要：分析了认识与思维的过程及内容,介绍了概念网络知识表达框架体系。概念网络以符号构造和符号分析为手段,将概念作为知识表达的基元,概念与概念之间通过各种关系联结成为一个有机的网络,解决了人工智能研究工作中所需背景知识的构造、管理和使用问题。概念网络框架体系可用于多领域知识的构造和表达,具有较好的普遍适用性和无限的可扩展性。This paper discusses the process and content of cognition and thinking, and gives an introduction to the Conceptual Network Knowledge Representation System (ConNet). Based on symbol structure and symbol analysis, ConNet takes the concept as the core of its theory, gets a network by connecting the concepts, and gives a solution to the using of background knowledge which is necessary to the study of AI. ConNet is suitable to all domains of knowledge, and has extensive applicability and infinite extendible space.

关 键 词：概念网络 人工智能 自然语言理解 知识表达 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]