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The Cloud Platform of Agricultural Technology Extension (CPATE) is a comprehensive knowledge platform serving for the agricultural technicians all over China. Along with the development of the project and the rapid increase of data quantity, the platform urgently needs an effective knowledge management tool to help the technicians in finding the most needed knoledge in a short time. This paper introduces the development and characteristics of knowledge map and puts up an idea about applying knowledge map to the field of agricultural science, and designed a scheme of constructing knowledge map in CPATE, including design of knowledge map architecture, extraction of location and content attributes for static knowledge nodes, social tagging system for dynamic knowledge nodes, design of knowledge network association algorithm. A strategy of showing the maps was illustrated in detail.

Construction of Knowledge Map on Cloud Platform of Agricultural Technology Extension