中文摘要：

专利地图是新形势下为提高政府科研管理质量，解决公共信息失灵，探索技术发展态势的一种有效方法，可以为政府科研管理工作提供有力的决策支持。文章在对共现分析和专利地图相关文献回顾的基础上，针对当前研究存在的主要问题，采用共现分析的方法，从数据关联模型、共现连接强度、线性相关系数三个层面，构建了一个三阶段的共现分析模型，并通过可视化技术将专利信息绘制成专利地图，以图谱的形式展现分析的结果。在此基础上，以公路工程领域为例，进行可视化实验，以此判别该领域的深层次结构，为专利地图在政府科研管理中的应用提供一种思路和手段。

英文摘要：

Patent map as exploration of the technical development and improve the quality of government information man- agement of an effective method, can provide strong government information management decision support. Based on patent map and co-occurrence analysis, the article proposed a three stages mode of co-occurrence analysis from the data association model, co-occurrence connection strength and the linear correlation coefficient, and visualization technology platform through the draw into a patent map to map will reveal the results of the analysis. Meanwhile author try to study visualization experiments of highway engineering in order to discriminate this field of deep-seated structural, in order to provide a realistic and feasible ideas and means of the application of patent map used as government information management tool.