面向电力科研人员的知识图谱构建及应用研究OA

To enhance the efficiency of power science and technology resource management and gains insights into the correlations among data,it utilizes knowledge map technology to construct the portraits of scientific researchers and the knowledge network of science and technology resources of SGCC(State Grid Corporation of China).This network reveals the relationship paths among resources and explores the research and application of potential graphs.Research shows that through in-depth analysis and multi-dimensional visuali-zation,it can successfully transform data into knowledge and information,providing researchers with research directions and partners,and helping to enhance research efficiency.Meanwhile,this technology also enables managers to optimize and integrate scientific re-search resources,enhancing the efficiency of State Grid's scientific and technological management.