文献类型：期刊文献

中文题名：基于特征的零件知识语义网络表示法

英文题名：Approach of Semantic Network for Representing Feature Based Knowledge of Part

作者：刘璨[1]

机构：[1]湛江海洋大学工程学院,广东湛江524025

年份：2003

卷号：32

期号：6

起止页码：49

中文期刊名：机电工程技术

外文期刊名：Mechanical & Electrical Engineering Technology

语种：中文

中文关键词：CAPP;语义网络;知识表示;推理能力;零件特征知识;计算机辅助零件工艺设计

外文关键词：CAPP, Semantic Network, Knowledge Representation

中文摘要：针对零件知识表示困难的问题,将零件知识分解为零件、体和面的公有和私有知识,在此基础上,利用语义网络推理能力强的特点,用语义网络来表示零件特征知识,本文阐述了语义网络表示基于特征的零件知识的方法,并举例说明了基于特征知识表示的语义网络生成新工艺的推理过程。

外文摘要：In order to resolving the problem of representing part's knowledge, decompose the part's knowledge into public and private knowledge of part, body and surface. And then use semantic network to represent the knowledge of features for its merit of powerful reasoning capability. In this paper, the method of using semantic network to represent feature based knowledge of part is set forth, and through example, it is demonstrated the reasoning process of this semantic network generating process plan.