Journal of Library and Information Science in Agriculture ›› 2022, Vol. 34 ›› Issue (1): 86-95.doi: 10.13998/j.cnki.issn1002-1248.21-0035
Previous Articles Next Articles
LIN Zhuo1,2, HUANG Haohai1
CLC Number:
| [1] 清华大学-中国工程院知识智能联合研究中心. 中国人工智能发展报告2019[R]. 北京: 清华大学, 2019. Tsinghua university - Chinese academy of engineering knowledge intelligence joint research center. Report of artificial intelligence development (2019)[R]. Beijing: Tsinghua university, 2019. [2] 高芳. 美国智库探讨人工智能与国家安全的关系[J]. 科技中国, 2018(1): 89-91. GAO F. American think tank discusses the relationship between artificial intelligence and national security[J]. Science and technology China, 2018(1): 89-91 [3] 高芳, 耿喆. 特朗普启动人工智能倡议誓要维护全球领先地位[J]. 科技中国, 2019(5): 89-91. GAO F, GENG Z. Trump launches AI initiative and vows to maintain global leading position[J]. Science and technology China, 2019(5): 89-91 [4] 常茹茹, 赵蓉英, 贾增帅, 等. 全球人工智能专利合作特征及影响力研究[J]. 农业图书情报学报, 2020, 32(2): 58-70. CHANG R R, ZHAO R Y, JIA Z S, et al. The characteristics and impact of international artificial intelligence (AI) patent cooperation[J]. Agricultural library and information, 2020, 32(2): 58-70. [5] 姜宇星, 王曰芬, 范丽鹏, 等. 人工智能研究前沿识别与分析: 基于主要国家(地区)对比研究视角[J]. 情报理论与实践, 2019, 42(9): 8-15. JIANG Y X, WANG Y F, FAN L P, et al. Identification and analysis of research front in artificial intelligence: A perspective based on comparative study of major countries (regions)[J]. Intelligence theory and practice, 2019, 42(9): 8-15. [6] 范丽鹏, 余厚强, 姜宇星, 等. 人工智能研究前沿识别与分析: 基于高产机构对比研究视角[J]. 情报理论与实践, 2019, 42(9): 16-21. FAN L P, YU H Q, JIANG Y X, et al. Identification and analysis of research front in artificial intelligence: From a perspective of the comparative study among highly productive institutions[J]. Intelligence theory and practice, 2019, 42(9): 16-21 [7] 邹本涛, 王曰芬, 曹嘉君, 等. 人工智能研究前沿识别与分析: 基于高产作者多属性综合研究视角[J]. 情报理论与实践, 2019, 42(9): 22-27 ZOU B T, WANG Y F, CAO J J, et al. Identification and analysis of research front in artificial intelligence: A perspective based on multi-attribute comprehensive study of highly productive authors[J]. Intelligence theory and practice, 2019, 42(9): 22-27 [8] 中国新一代人工智能发展战略研究院. 中国新一代人工智能科技产业发展报告(2019)[R]. 天津: 中国新一代人工智能发展战略研究院, 2019. Chinese institute of new generation artificial intelligence development strategies, openness and coordination: The impetus and mechanism of China's AI economy(2019)[R]. Tianjin: Chinese institute of new generation artificial intelligence development strategies, 2019. [9] 孙坦, 黄永文, 鲜国建, 等. 新一代信息技术驱动下的农业信息化发展思考[J]. 农业图书情报学报, 2021, 33(3): 4-15. SUN T, HUANG Y W, XIAN G J, et al. Considerations for the development of agricultural informatization driven by a new generation of information technologies[J]. Journal of library and information science in agriculture, 2021, 33(3): 4-15. [10] TANG J, ZHANG J, YAO L, et al. Arnetminer: Extraction and mining of academic social networks[C]//Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, 2008: 990-998. [11] TANG J, SUN J, WANG C, et al. Social influence analysis in large-scale networks[C]//Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, ACM, 2009: 807-816. [12] TANG J, YAO L, ZHANG D, et al. A combination approach to web user profiling[J]. ACM transactions on knowledge discovery from data (TKDD), 2010, 5(1): 2. [13] WANG Z, LI J, TANG J. Boosting cross-lingual knowledge linking via concept annotation[C]//Twenty-Third international joint conference on artificial intelligence, 2013. [14] ZHANG Y, ZHANG F, YAO P, et al. Name disambiguation in AMiner: Clustering, maintenance, and human in the loop[C]//Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining, ACM, 2018: 1002-1011. [15] LI J, TANG J, LI Y, et al. Rimom: A dynamic multistrategy ontology alignment framework[J]. IEEE transactions on knowledge and data engineering, 2008, 21(8): 1218-1232. |
|
||
