论文标题
知识图和科学和技术学术会议的准确肖像构建
Knowledge Graph and Accurate Portrait Construction of Scientific and Technological Academic Conferences
论文作者
论文摘要
近年来，随着科学技术的持续发展，随着科学研究成就的交流平台和媒介，科学研究成就的数量正在增加，科学和技术学术会议已经变得越来越丰富。科学和技术学术会议的召集将带来大量的学术论文，研究人员，研究机构和其他数据，并且大量的数据给研究人员带来了有价值的信息。因此，使用深度学习技术在科学和技术学术会议的数据中挖掘核心信息，并实现知识图和科学和技术学术学术会议的准确肖像系统，以便研究人员可以更快地获得科学研究信息，这一点很重要。
In recent years, with the continuous progress of science and technology, the number of scientific research achievements is increasing day by day, as the exchange platform and medium of scientific research achievements, the scientific and technological academic conferences have become more and more abundant. The convening of scientific and technological academic conferences will bring large number of academic papers, researchers, research institutions and other data, and the massive data brings difficulties for researchers to obtain valuable information. Therefore, it is of great significance to use deep learning technology to mine the core information in the data of scientific and technological academic conferences, and to realize a knowledge graph and accurate portrait system of scientific and technological academic conferences, so that researchers can obtain scientific research information faster.
