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Journal of library and information science in agriculture ›› 2021, Vol. 33 ›› Issue (12): 83-88.doi: 10.13998/j.cnki.issn1002-1248.21-0788

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Artificial Intelligence Enables Knowledge Service and Opens up the Future of Intelligent Agriculture: Review of 2020 National Library and Information Youth Academic Forum

LYU Lucheng1,2, HAN Tao1,2   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2021-01-14 Online:2021-12-05 Published:2022-01-19

Abstract: [Purpose/Significance] This paper summarizes reports of the 395th Youth Scientist Forum of China Association for Science and Technology and 2020 National Library and Information Youth Academic Forum held on November 5-6, 2020 with the theme of "AI enables knowledge service and opens up the future of intelligent digital agriculture". [Method/Process] The expert reports are classified and summarized from three aspects: 1) AI promoting the research method innovation of library and information science (LIS) and upgrading knowledge service infrastructure, 2) AI promoting technological innovation in agricultural and 3) the problem of information poverty in the era of AI. [Results/Conclusions] AI is accelerating the transformation of ways, means and facilities of knowledge service in the field of library and information; meanwhile, the convergence of AI and S&T fields such as agriculture puts forward high-level requirements for the field of library and information, which requires practitioners to organically integrate library and information services, AI technology and S&T innovation scenes; in addition, the "information poverty" and other social problems caused by the accelerated promotion of AI need the attention of library and information researchers.

Key words: knowledge service, artificial intelligence, smart agriculture, information poverty, computational research

CLC Number: 

  • G354.2
[1] 新华网. 中国共产党第十九届中央委员会第五次全体会议公报[EB/OL]. [2020-12-13]. http://www.xinhuanet.com/politics/2020-10/29/c_1126674147.htm.
Xinhua. Bulletin of the fifth plenary session of the 19th Central Committee of the Communist Party of China[EB/OL]. [2020-12-13]. http://www.xinhuanet.com/politics/2020-10/29/c_1126674147.htm.
[2] 吕璐成, 韩涛. AI在图情: 人工智能赋能图情服务——2019年图书馆前沿技术论坛(IT4L)会议综述[J]. 农业图书情报学报, 2020, 32(5): 13-18.
LYU L C, HAN T.Artificial intelligence empowers library and information service - Review of forums about information technology for library 2019[J]. Journal of library and information science in agriculture, 2020, 32(5): 13-18.
[3] 张晓林. 走向知识服务: 寻找新世纪图书情报工作的生长点[J]. 中国图书馆学报, 2000(5): 30-35.
ZHANG X L.Towards knowledge services: Seeking development opportunities for library and information work in the new century[J]. Journal of library science in China, 2000(5): 30-35.
[4] 孙坦, 刘峥, 崔运鹏, 等. 融合知识组织与认知计算的新一代开放知识服务架构探析[J]. 中国图书馆学报, 2019, 45(3): 38-48.
SUN T, LIU Z, CUI Y P, et al.Analysis and design of a new generation of open knowledge service system integrating knowledge organization and cognitive computing[J]. Journal of library science in China, 2019, 45(3): 38-48.
[5] 马费成. 情报学的进展与深化[J]. 情报学报, 1996(5): 22-28.
MA F C.Progress in information science[J]. Journal of the China society for scientific and technical information, 1996(5): 22-28.
[6] 赵春江. 智慧农业发展现状及战略目标研究[J]. 智慧农业, 2019, 1(1): 1-7.
ZHAO C J.State-of-the-art and recommended developmental strategic objectivs of smart agriculture[J]. Smart Agriculture, 2019, 1(1): 1-7.
[7] 周文杰, 闫慧, 韩圣龙. 基于信息源视野理论的信息贫富分化研究[J]. 中国图书馆学报, 2015, 41(1):50-61.
ZHOU W J, YAN H, HAN S L.Exploring information divide based on a theoretical view of information source horizon[J]. Journal of library science in China, 2015, 41(1): 50-61.
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