| 杨焕玲,马续补,林强,张静,魏静.人工智能在国际图情领域应用热点与趋势分析[J].情报工程,2025,11(5):058-071 |
| 人工智能在国际图情领域应用热点与趋势分析 |
| Analysis of the Application Hotspots and Trends of Artificial Intelligence in the Field of International Library and Information Science |
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| DOI： |
| 中文关键词: 人工智能；图书情报；Biblioshiny；计量可视化 |
| 英文关键词: Artificial Intelligence; Library and Information Science; Biblioshiny; Bibliometric Visualization |
| 基金项目:陕西省知识产权决策咨询研究项目“数智赋能的产学研融合知识产权服务平台构建研究”（YJ2025-18）；陕西省哲学社会科学重点研究基地项目“陕西省社会科学学术成果分析与评价研究”（20JZ058）。 |
| 作者 | 单位 | | 杨焕玲 | 西安电子科技大学图书馆 高校国家知识产权信息服务中心 西安 710071 | | 马续补 | 西安电子科技大学经济与管理学院 西安 710071 | | 林强 | 西安电子科技大学图书馆 高校国家知识产权信息服务中心 西安 710071 | | 张静 | 西安电子科技大学通信工程学院 西安 710071 | | 魏静 | 西安电子科技大学图书馆 高校国家知识产权信息服务中心 西安 710071 |
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| 中文摘要: |
| [目的/意义]当下人工智能呈现出迅猛发展的态势，技术迭代日新月异，应用领域持续拓展。在此快速变革的宏观背景下，有必要持续深入探究图情领域人工智能的发展状况并甄别出热点与新兴主题和研究方向。[方法/过程]以Web of Science 核心合集数据库为数据来源，使用文献计量可视化工具Biblioshiny，结合统计分析、文献计量学以及文本分析的方法对图情领域人工智能应用的现状、热点及发展趋势进行多维度全方位的解读和分析。[结果/结论] 研究结果表明：（1）图情领域人工智能的发展基本符合在所有领域人工智能的总体发展情况，跟进紧密；（2）美国、中国在该领域具有绝对实力，英国加拿大等国也有突出的表现，综合性研究型大学在该领域拥有知识创新核心载体的地位；（3）大语言模型及多模态融合应用在未来相比其他方向会展现出更为广阔的发展前景，其他方向如深度学习及机器学习相关技术的应用，模型公平性、偏差、安全性与伦理问题，基于系统性文献综述与同行评审的图情模型评估以及与地理空间人工智能相关的跨领域融合也会成为图情领域较多关注的研究方向。 |
| 英文摘要: |
| [Objective/Significance] At present, artificial intelligence shows a rapid development trend, technology iteration is changing with each passing day, and the application field continues to expand. Under the macro background of this rapid change,it is necessary to continue to explore the development of artificial intelligence in the field of library and information science and identify hot spots and emerging topics and research directions. [Methods/Processes] This paper takes the core collection database of Web of Science as the data source, uses the bibliometric visualization tool Biblioshiny, and combines the methods of statistical analysis, bibliometrics and text analysis to interpret and analyze the current situation, hot spots and development trend of artificial intelligence application in the field of library and information. [Results/Conclusions]The research results show that: (1)the development of artificial intelligence in the field of library and information is basically in line with the overall development of artificial intelligence in all fields, and it is closely followed up; (2) The United States and China have absolute strength in this field, and the United Kingdom, Canada and other countries should not be underestimated. Comprehensive research universities have the status of core carriers of knowledge innovation in this field; (3) Large Language Models and multimodal fusion applications will show a broader development prospect in the future than other directions. Other directions, such as the application of deep learning and machine learning related technologies, model fairness, bias, security and ethical issues, library and information model evaluation based on systematic literature review and peer review, and cross-domain fusion related to geospatial artificial intelligence, will also become more concerned research directions in the field of library and information. |
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