基于知识网络的专家领域知识发现及表示方法

从知识网络的角度，对专家领域知识的发现及表示方法进行了研究。在分析知识内在关联的基础上，对专家领域知识进行网络建模，包括知识点建模及其关联关系建模。通过对模型进行网络分析，发现其中的群组（Clique）和子群组（Sub—Clique）。对群组和子群组中的知识点进行知识聚合，可获得知识核和知识子核，从而实现专家领域知识的准确获取和表示。该方法描述的专家领域知识可用专家领域知识网络结构图、知识表等形式表示出来，具有客观、准确等特点。文章最后给出了一个验证实例。

The Discovery and Representation Methods of Expert Domain Knowledge Based On Knowledge Network

The paper is focused on the discovery and representation methods of expert domain knowledge based on knowledge network. Firstly the modeling method is discussed on the basis of knowledge relations, including the modeling methods of knowledge points and their inter-relations. Through the network analysis of the model, the Cliques and Sub-Cliques can be discovered ,which can be used to discover Knowledge Cores and Sub-Cores through knowledge cohesion. Then the expert domain knowledge can be obtained and represented in structural domain knowledge network diagrams and knowledge tables. The methods are proved to be objective and precise, which is acknowledged in an application case.