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The Analysis of Basic Communication Process Based on the Knowledge Network

机译:基于知识网络的基本通信过程分析

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The diffusion and application of knowledge can not be separated from knowledge communication. In this paper, the communication process of knowledge is abstracted into the communication process between the agents that realized through a specific or abstract medium which is called as the knowledge network. Knowledge network is the graphical representation of knowledge and can be abstracted as the basic graphic elements and basic functional components. The former is the node and the connection, the latter is the knowledge components constructed with the node and the connection to express some semantic. In order to realize the knowledge communication, firstly, the semantic consistency of each node and the connection in the knowledge network should be satisfied, that is to say we need to establish authoritative knowledge dictionary, secondly, design better structure of knowledge components to describe and apply knowledge better. Finally, in order to improve the accuracy and convenience of the knowledge communication, we must design a suitable comparison and creation method of knowledge network which based on black box theory. A comparison of two kinds of knowledge networks is made on the semantic network and standard model of knowledge representation. The former is simple but not good for representing complex semantics. The latter can not only represent complex semantics in a single knowledge element, but also can be easily combined by the knowledge network. At the same time, it can be easily to carry out the hierarchicalization and partition of knowledge network, and the formed knowledge network can be computed, so it can meet the communication process of knowledge network better.
机译:知识的扩散和应用不能与知识通信分开。在本文中,知识通信过程被抽象到通过被称为知识网络的特定或抽象介质实现的代理之间的通信过程。知识网络是知识的图形表示,可以被抽象为基本的图形元素和基本功能组件。前者是节点和连接,后者是用节点构造的知识组件和连接以表达一些语义。为了实现知识通信,首先,应该满足每个节点的语义一致性和知识网络中的连接,也就是说我们需要建立权威知识词典,其次,设计更好的知识组件结构来描述和更好地应用知识。最后,为了提高知识通信的准确性和便利性,必须设计一种基于黑匣子理论的知识网络的合适比较和创造方法。在语义网络和知识表示的标准模型上进行了两种知识网络的比较。前者很简单,但不适合代表复杂的语义。后者不仅可以在单个知识元素中代表复杂的语义,而且可以通过知识网络容易地组合。同时,可以容易地执行知识网络的分级化和分区,并且可以计算形成的知识网络,因此它可以更好地满足知识网络的通信过程。

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