国内图书情报领域人工智能研究演化分析

Analysis of Artificial Intelligence Research Evolution in Library and Information Field of China

摘要:

[目的/意义]在大数据和人工智能快速发展的时代背景下，分析国内图书情报领域人工智能研究的相关文献，有助于了解目前国内图书情报领域人工智能方向的研究进展与研究趋势，推动人工智能与国内图书情报领域的深度结合，发挥越来越重要的作用。[方法/过程]通过Citespace软件，梳理CNKI中图书情报领域关于人工智能的文献研究，探究人工智能在国内图书情报领域的发文力量及主题演进、研究热点及未来趋势，并进行对比及可视化分析。[结果/结论]分析结果表明我国图书情报领域对人工智能的研究数量持续增加，但尚未完全发展成熟，目前存在发文力量分散、研究主题联系紧密、重叠交叉等特点。人工智能在国内图书情报领域的研究主题可聚为8类，其中，智慧图书馆、智能数据服务、知识工程等主题作为近年来国内图书情报领域人工智能的研究热点及研究趋势，仍有进一步深入探讨的空间。机器学习、知识图谱、语义网络等不断进步的人工智能技术拓展了国内图书情报领域的发展潜力。

Abstract:

[Purpose/Significance]Under the background of the rapid development of big data and artificial intelligence, the analysis of relevant literature about artificial intelligence research in the field of library and information in China will help to understand the research progress and research trends of artificial intelligence in the field of library and information in China. That can promote the deep integration of artificial intelligence and domestic library and information fields, and play an increasingly important role. [Method/Process]This paper uses Citespace to comb the literature research on artificial intelligence in the field of library and information from CNKI, and studies important Institutions, theme evolution, research hot topics and future trends of artificial intelligence in the field of library and information in China, and makes comparative and visual analysis.[Result/Conclusion]The analysis results show that the number of researches on artificial intelligence in the field of library and information in China is increasing continuously, but it has not yet fully developed and matured. At present, research institutions in this area are scattered, the topics are closely related and overlapping. The research themes of artificial intelligence in the field of library and information in China can be clustered into 8 categories. Among them, smart library, intelligent data service and knowledge engineering as hot research topics and research trends of artificial intelligence in the field of library and information in recent years can be further explored. The continuous advancement of artificial intelligence technology such as machine learning, knowledge graph, and semantic networks has expanded the potential of the domestic library and information field.