中文摘要：

科学研究中的科研领域拥有大量有价值的知识，如何将这些知识显性的表示出来，并在实际中有效的应用，是目前研究中的一个难点问题。本研究从知识管理的角度出发，首先依据科研领域知识的特点，构建了科研领域知识的网络表示模型，然后运用复杂网络理论对该模型进行分析，获得了模型的特性。再根据这些特点对网络进行了聚类降维，聚类降低了网络的表示维度和复杂度，在此基础上构建了更简单的知识树状结构模型。建构的网络模型能很好表示科研领域知识，而且在降维的基础上得到的树状结构模型具有更好的效果，并能方便地接人到计算机系统中。最后给出一个实例进行验证。

英文摘要：

It is very difficult to represent plentiful and valuable knowledge in scientific research field and put knowledge representation into effective application. First, from the angle of knowledge management, this paper proposes the knowledge representation model of scientific research field based on network according to the feature of the knowledge, obtains the characteristics of the model by analyzing the knowledge network with complex network theory. Seeond, we process the network clustering according to its characteristics to reduce the expression dimension and the complexity of the network, and then construct the knowledge tree structure model based on the clustering. The knowledge network model and the tree structure model are suitable for specifying and representing knowledge of scientific research field, and the latter is machine readable. Finally, the model is well illustrated by an application case in the reality.