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Knowledge Network Based on the Standard Model of Knowledge Representation

机译：知识网络基于知识表示的标准模型

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摘要

The basic unit of knowledge representation is the knowledge component. We can represent complex semantic through the construction of complex knowledge component or the combination of some knowledge components, where the latter is the common method. For the representation of complex semantic, the abilities and defects using the representation method of tradition semantic network and parataxis network are analyzed, and a knowledge network representation method based on the standard model of knowledge representation is proposed. This knowledge network has power ability to represent the complex semantic by the series-parallel connection of knowledge components. The running of this knowledge network is determinate, so it can express the complex semantic accurately without ambiguity. From the analysis to the knowledge network, it is pointed that knowledge network is not the copy of physiological structure of a human brain, but the logical description of knowledge. The knowledge network has relationship with the solving of knowledge, many parts of it are produced dynamically in the process of inference in agent, and using static knowledge network to construct the knowledge system is unable to avoid the explosion of knowledge network.
机译：知识表示的基本单位是知识组件。我们可以通过构建复杂知识组件或一些知识组件的组合来代表复杂的语义，后者是常用方法。对于复杂语义的表示，分析了使用传统语义网络和划分网络的表示方法的能力和缺陷，提出了一种基于知识表示标准模型的知识网络表示方法。该知识网络具有通过知识组件的串行连接来表示复杂语义的电力能力。该知识网络的运行是确定的，因此它可以准确地表达复杂的语义而不进行歧义。从分析到知识网络，指出知识网络不是人类脑的生理结构的副本，而是知识的逻辑描述。知识网络与知识的解决有关系，它的许多部分是在代理推理过程中动态生产的，并且使用静态知识网络构建知识系统无法避免知识网络的爆炸。

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