Abstract:

The Cloud Platform of Agricultural Technology Extension is a comprehensive knowledge platform serving for the agricultural technicians all over China. It provides various knowledge services, such as knowledge learning, exchange, sharing and creating opportunities of interacting with agricultural experts. Along with the implementation of various projects, the data quantity increased rapidly. The platform urgently needs an effective knowledge management tool to help the technicians in finding the most needed knowledge in a short time. Knowledge map (K-Map), as a knowledge management tool, has been applied in many fields. These maps can provide users an intuitive and graphical knowledge guide, reveal the relationship between knowledges, and promote knowledge exchange and sharing. This paper introduces the Cloud Platform of Agricultural Technology Extension, and the development and characteristics of K-Map. On these basis, this paper put up an idea about applying K-Map to the fields of agricultural science, and designed a scheme of constructing K-Map in the Cloud, including design of K-Map total structure, extract of position and content attributes among static knowledge nodes, social tagging of dynamic knowledge nodes, design of knowledge network correlation algorithm. A strategy of showing K-Map was illustrated in detail. Besides，K-Map on Cloud Platform of Agricultural Technology Extension had been initially realized according to the scheme.

Key words: Agricultural Technology Extension, Cloud Platform, knowledge map, design, VSM

摘要：

农技云平台是面向全国农业技术推广人员的综合性知识服务平台，为他们提供学习、交流、分享以及与农业专家互动等各种知识服务。随着项目的不断推进，数据量的急剧增加，平台内急需一种有效的知识管理工具来帮助用户更快捷得找到最需要的知识。知识地图作为一种知识管理工具已经被应用到了很多领域，它可以为用户提供一个直观的、图像化的知识引导，揭示知识间的关系，促进知识的交流与分享。介绍了全国基层农技推广信息化云平台的基本情况，以及知识地图的发展概况和特点，在此基础上首次提出了将知识地图应用到农业科技领域的想法，制定了在云平台中构建知识地图的设计方案，具体包括知识地图整体架构的设计、静态知识节点中位置属性与内容属性的提取、动态知识节点的社会标注、知识网络关联算法的设计，并对知识地图的展现策略做出了详细的说明。而且，根据该方案，云平台中的知识地图已经得到了初步实现。

关键词: 农技推广；云平台；知识地图；设计；向量空间模型