This paper presents a synthetical knowledge representation model integrating attribute grammar evaluation model with semantic network representation model. 本文提出了一个属性文法计算模型与语义网络表示模型相结合的综合知识表示模型。
Fu, a new attribute grammar CPDL including position and shape attribute was developed. Fu的形状属性文法的基础上,发展了一种带有位置和形状属性的文法。
A synthetical knowledge representation model based on attribute grammar and semantic networks 基于属性文法和语义网络的综合知识表示模型
According to the features of formal semantic network model and attribute grammars, the new model uses symbols of attribute grammars to establish grammar and semantic rule schema suitable for semantic networks, and implements the reasoning by the expanded attribute grammar interpreter. 根据形式化的语义网络表示模型和属性文法的特点,该模型使用属性文法的符号建立了一些适合于语义网络表示模型的语法和语义规则模式,并且可通过扩充的属性文法的解释器来实现推理。