Visualization and Forecast Analysis of Science and Technology Intelligence Based on Knowledge Graph
Ji Rui, YU Shi-ming, Hongwei Yan, Suren Ding, Ben Wang, Hui Zong, Quanyin Zhu · 2018
it is difficult for scientific researchers to extract strutted knowledge from massive data and clarify the process and complex connections between it. The proposed system collects scientific and technological intelligence via data mining. Then we conduct information extraction, knowledge fusion, and knowledge processing to build Knowledge Graphs of scientific and technological intelligence. Finally, we can realize visualization of scientific and technological intelligence. The knowledge base constructed by the system can help researchers more intuitively understand the history, status, and future of discipline development. It can help researchers better understand the classification of disciplines and deepen their understanding of knowledge. Also, the system can conduct empirical research through citation analysis, bibliographic coupling analysis and other bibliometric methods. Via trend extrapolation, Tri-training and other algorithms, we can predict the trend of the frontier.