基于大数据分析的人工智能文献研究
On Artificial Intelligence Literature via Big Data Analysis
-
摘要: 1992-2017年间我国“人工智能”研究阶段性显著、发文量大、研究人员众多、研究阵地分散、各地区研究水平差异大、研究人员合作程度不够高,未形成较大的合作网络,综述性文献偏多、应用性文献偏少、人工智能研究成果的学科分布不均匀,本研究给出了相关建议和策略.Abstract: The CNKI China Knowledge Network database was used as a source to collect core journals' literature from 1992 to 2017, And we found some problems on Artificial Intelligence as follows in the past 26 years:the research of artificial intelligence in China has a significant phase, there are a large number of publications and relevant researchers, there are some scattered research sites, there are large differences on level of research among different regions, low level of cooperation, there are no major cooperation networks, there are many review literatures and few applied documents, and there are some uneven distribution of artificial intelligence research results, etc. At last, we gave some relevant suggestions and strategies.
-
Key words:
- artificial intelligence /
- big date /
- knowledge graph /
- statistics .
-
-
[1] 张烁.2017中国媒体十大流行语发布"十九大""新时代"上榜[EB/OL]. (2017-12-12)[2018-01-20]. www. xinhuanet. com/politics/2017-12/12/c_1122094339. htm. [2] 叶鹰, 潘有能, 潘卫. 情报学基础教程[M]. 北京:科学出版社, 2006. [3] 胡臻. 基于普赖斯定律与综合指数法的核心作者和扩展核心作者分析[J]. 西南民族大学学报, 2016, 42(3):351-354. [4] 库恩. 科学革命的结构[M]. 上海:上海科学技术出版社, 1980. [5] 邱均平,刘艳玲.近10年我国合著现象的研究进展[J].图书情报工作,2011,55(20):11-14. [6] 文庭孝. 专利信息计量学[M]. 北京:科学出版社, 2017. [7] SAID Y H,WEGMAN E J,SHARABATI W K, et al.Social Networks of Author-Coauthor Relationships[J].Computational Statistics & Data Analysis, 2008, 52(4):2177-2184. [8] WHITE H D.Pathfinder Networks and Author Co-Citation Analysis:A Remapping of Paradigmatic Information Scientists[J].Journal of the American Society for Information Science and Technology,2003,54(5):423-434. -
计量
- 文章访问数: 1447
- HTML全文浏览数: 1203
- PDF下载数: 88
- 施引文献: 0