摘要
[目的/意义]科学知识图谱作为新兴的知识发现工具和可视化知识分析平台,可以辅助科技智库洞察科技领域的发展脉络,预测未来科技发展趋势。[方法/过程]本研究遵循科技智库的工作逻辑和流程,构建科技活动全要素的科学知识图谱,并开发知识图谱分析发现系统。实施知识获取、知识融合和知识计算。[结果/结论]实现知识深度挖掘、知识隐含关系发现、趋势预测和其他智能化决策应用。
[Purpose/significance]As an emerging knowledge discovery tool and a visual knowledge analysis platform,mapping knowledge domain can help science and technology think tanks to explore the development of science and technology and predict its future trend.[Method/process]This study follows the working logic and process of science and technology think tank,constructs the scientific knowledge map of the total elements of science and technology activities,and develops the knowledge map analysis and discovery system to carry out knowledge acquisition,knowledge fusion and knowledge computation.[Results/conclusion]The mapping knowledge domain is beneficial to the realization of knowledge depth mining,knowledge implicit relationship discovery,trend prediction and other intelligent decision-making applications.
作者
于升峰
Yu Shengfeng(Qingdao Science and Technology Information Research Institute,Qingdao 266000)
出处
《智库理论与实践》
CSSCI
2021年第1期56-64,共9页
Think Tank:Theory & Practice
基金
中央引导地方科技发展专项计划“青岛市科技智库公共服务平台”(项目编号:18-1-3-1-zyyd-gh)研究成果之一。
关键词
科技智库
知识图谱
可视化
知识库
趋势预测
辅助决策
science and technology think tank
mapping knowledge domain
visualization
knowledge base
trend prediction
aid decision making