| 郭骅,李庆昊,夏天伊,李盛庆.会议论文与期刊论文主题分布的演化关系研究[J].数字图书馆论坛,2023,(10):18~28 |
| 会议论文与期刊论文主题分布的演化关系研究 |
| Evolutionary Relationship Between the Topic Distribution of Conference Literature and Journal Literature |
| 投稿时间：2023-07-23 |
| DOI：10.3772/j.issn.1673-2286.2023.10.003 |
| 中文关键词: 主题识别；主题演化；人工智能；会议论文；期刊论文；关键主题 |
| 英文关键词: Topic Identification; Topic Evolution; Artificial Intelligence; Conference Literature; Journal Literature; Critical Topic |
| 基金项目:本研究得到国家社会科学基金项目“面向代表作评价的科研论文学术价值测度研究”（编号：21CTQ017）资助。 |
| 作者 | 单位 | | 郭骅 | 河海大学商学院 | | 李庆昊 | 河海大学商学院 | | 夏天伊 | 河海大学商学院 | | 李盛庆 | 常熟理工学院 |
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| 中文摘要: |
| 为加深对跨文献类型的学术研究主题演化的理解，设计构建会议论文和期刊论文研究主题演化的多步骤分析框架，包括数据准备、主题识别、相似度测量、时滞测度、演化模式分析、主路径识别和关键主题识别等。以《中国计算机学会推荐国际学术会议和期刊目录》中的A类出版物为例，分析和呈现2007—2021年人工智能核心领域会议论文、期刊论文的研究主题演化情况。研究发现：该领域会议论文的研究主题设置整体上领先期刊1年；多种主题演化模式交叉作用，扩展人工智能核心领域的科学知识；会议论文创新促进研究方向的聚焦和知识框架的稳定；一些较晚出现的会议主题更强烈地影响领域知识的持续构建。此外，还分析人工智能术语的分布情况和变化趋势。 |
| 英文摘要: |
| The study aims to deepen the understanding of the evolution of scholarly research topics across literature types. This paper proposes a multi-step analytical framework for research topic evolution in conference and journal articles, including data preparation, topic identification, similarity measurement,time lag measurement, evolutionary pattern analysis, main path identification, and critical topic identification. Taking the Class A publications in Directory of Recommended International Academic Conferences and Journals of the China Computer Federation as examples, the research topic evolution of conference articles and journal articles in the core field of AI from 2007 to 2021 is analyzed and presented. The results show that the research topic setting of conference articles is overall one year ahead of journals; multiple topic evolutionary patterns intersect to expand the scientific knowledge in the field; innovations brought about by conference articles have contributed to the focusing of the research direction and the stabilization of the knowledge framework; and some of the later-emerging conference topics have more strongly impacted the continued construction of the knowledge in the field. In addition, this paper analyzes the distribution and trends of AI terminology. |
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