大数据环境下移动视觉搜索研究的知识图谱分析

Knowledge Mapping Analysis on the Research of Mobile Visual Search in Big Data Environment

运用可视化知识图谱分析方法,以CiteSpace软件作为分析工具,对Web of Science核心数据库中收录的1996—2021年间关于移动视觉搜索研究的文献,从论文发表时间分布、国家分布、研究机构分布、学术期刊分布、学科分布、研究热点领域、前沿趋势等方面进行系统的计量分析.通过分析发现,移动视觉搜索研究近十年来迈入繁荣发展时期,前沿热点聚集于跨模态识别、人工智能技术、深度学习算法等领域.

This paper mainly uses the visual knowledge mapping analysis method,and CiteSpace software as the tool to make a systematic quantitative analysis on the paper of mobile visual search research from 1996 to 2021,included in the core database of web of science,from the aspects of paper publication time distribution,national distribution,research institutions distribution,academic journals distribution,discipline distribution,research hot fields,cutting-edge trends and so on.Through the analysis,it is found that the research of mobile visual search has entered a period of prosperity and development in recent ten years,and the cutting-edge hotspots are concentrated in the fields of cross modal recognition,artificial intelligence technology,deep learning algorithm and so on.Finally,the difficulties of the existing research are discussed,and the future development trend is prospected.