基于复杂网络的知识网建模研究

Knowledge Network Modeling Based on Complex Networks

随着人类社会进入知识经济时代,对知识学习、知识管理等领域都有了持久深入的研究,而如何对知识进行识别、获取、开发、分解、储存、传递,也成为了重点的研究方向。知识网的创建更好的解决了这个问题。知识网由知识点组成,每个知识点又由若干个更小的知识点组成,知识点之间又存在着联系。如何研究知识网中知识点的组成呢?本文利用了复杂网络中的社团理论对知识网进行了建模;并用复杂网络建模中的基于无权网络的BA模型,对知识网中的节点及节点的关系进行了详细的分析研究,从而从一个崭新的角度扩展了人工智能的知识表示方法。

As human society entered the era of knowledge economy, lasting in-depth studies have been done to knowledge learning, knowledge management, and other fields. How to identify, acquire, develop, decompose, store, and transmit knowledge has become the focus of research. The creation of knowledge network supplies a better solution to this problem. Knowledge network is composed of knowledge points. Each knowledge point is composed of several even smaller knowledge points, while relations exist between them. How to study the composition of the knowledge networks? This article uses the theory of community structure in the complex networks to build the model of knowledge network,and then use theory of complex networks of the BA model to build a knowledge network model, and to analyze the knowledge nodes in the network and the relationship between them. Therefore, it extends the notation of artificial intelligence knowledge from a new perspective.