知识图谱的应用研究现状与发展趋势——基于CiteSpace的可视化分析

The Current Situation and Development Trend of Knowledge Map Application Research——Visual Analysis Based on CiteSpace

随着人工智能的发展,“Google知识图谱”引起众多学者的广泛关注。笔者首先对谷歌知识图谱和科学知识图谱进行区分,进而用文献计量学的方法来阐述我国谷歌知识图谱及其应用的研究现状,并以2012年-2020年CNKI收录的知识图谱文献来源期刊为数据基础,进行共词分析和共现分析,包括发文量分析、核心作者分析、关键词总体分析、突变词分析等,可视化呈现知识图谱应用的研究现状、研究热点以及最新研究动态和发展趋势。

With the development of artificial intelligence,the"Google Knowledge Graph"has attracted extensive attention from many scholars.This article first distinguishes between the Google Knowledge Graph of Artificial Intelligence and the Scientific Knowledge Graph in Library and Information Science,and uses stylistics to explain the research status of Google Knowledge Graph and its application in China.Based on the data source journals of knowledge graphs included in CNKI from 2012 to 2020 as the data base,co-word analysis and co-occurrence analysis were performed,including analysis of the amount of articles,analysis of core authors,overall analysis of keywords,and analysis of mutant words.Applied research status,research hotspots,latest research trends and development trends.