大数据驱动下情报研究知识库的应用:以石墨烯领域为例

Application of Intelligence Analysis Knowledge Base Driven by Big Data: Taking the Graphene Field as an Example

[目的/意义]文章基于领域情报研究知识库三位一体的体系架构,以石墨稀领域为例,进行情报研究知识库的应用研究。[方法/过程]首先,对总体应用方案进行设计;然后,基于文本语义空间进行语义检索实证研究,并利用专家知识地图进行专家发现;最后,从时间分布、研究者分布、机构分布、研究热点以及主题挖掘五个方面进行领域情报分析与挖掘。[结果/结论]文章以石墨烯领域情报研究知识库为例,从多层面进行应用研究,展现我国石墨烯领域整体研究情况,并为领域情报研究中智能化的情报研究提供借鉴。

[Purpose/significance]Based on the trinity architecture of the domain intelligence analysis knowledge base,taking the graphene field as an example,this paper studies the application of intelligence analysis knowledge base. [Method/process]First,the overall application plan is designed. Then,semantic retrieval is empirically studied based on text semantic space,and expert knowledge map is used to recognize experts. Finally,domain intelligence analysis and mining is analyzed and extracted from the five aspects of time distribution,researcher distribution,institutional distribution,research hotspot,and topic mining. [Result/conclusion] The paper takes graphene field intelligence analysis knowledge base as an example for multi-level application study. It is hoped to demonstrate the overall research status of the graphene field in China,and provide references for intelligent intelligence research in domain intelligence research.