摘要
本研究旨在揭示多学科交叉综合领域内的核心学科并分析学科间内在联系与演变,以此来分析领域内学科态势。以人工智能领域为研究对象,探讨该领域内相关学科的分布,分析学科相互间的关联和研究相似性及演化,为科学研究和政策制定提供支持。对文献资料进行预处理后,用关键词表征学科研究内容,并通过词袋模型构建学科向量;分别从基础统计、共现分析和相似性分析来研究学科的分布、人工智能与其他学科之间以及两两学科之间的相似性与演化。结果表明,人工智能领域内以计算机科学和工程为核心,以数学为基础,并逐渐延伸到社会科学、生物科学等领域,由单一的理论和技术研究向多学科应用领域发展。领域内学科的多元化也促进了管理学和法学等学科研究内容的转变。本研究分析路径可以在一定程度上揭示学科研究的跨学科发展趋势。
The purpose of this study is to reveal the core disciplines in a multi-disciplinary field and to analyze the internal relationship and evolution. This study takes artificial intelligence(AI) as its research object,discusses the distribution of related disciplines in this field,and analyzes the relationships,similarities,and evaluations between them to provide data support and decision-making structures for scientific research and policy-making. After pre-processing and analyzing literature data,keywords were used to express the research content of subjects and construct subject vectors through a bag-ofwords model. Then,the distribution of AI-related subjects,the similarities and evolution between AI and other subjects,as well as between related subjects are studied from three aspects: Basic statistics,co-occurrence analysis,and similarity analysis. The results indicate that in the field of artificial intelligence,computer science and engineering fields are the most prominent,mathematics is its basis,and its research is gradually spreading to social sciences,biological sciences,and other fields. AI research is developed from single theoretical and technical research to multidisciplinary applications. The diversification of disciplines in this field also promotes the research content diversification of management and law. This shows that the analysis path can reveal the interdisciplinary development trends of subject research to a certain extent.
作者
曹嘉君
王曰芬
陈盛之
邹本涛
Cao Jiajun;Wang Yuefen;Chen Shengzhi;Zou Bentao(School of Economics&Management,Nanjing University of Science&Technology,Nanjing 210094;School of Computer Science&Engineering,Nanjing University of Science&Technology,Nanjing 210094)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第5期459-468,共10页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金重大项目“面向知识创新服务的数据科学理论与方法研究”(16DZA224)。
关键词
人工智能
学科演化
词袋模型
TF-IDF
余弦相似度
artificial intelligence
subject evolution
bag-of-words model
TF-IDF
cosine similarity
