农业图书情报学报 ›› 2021, Vol. 33 ›› Issue (1): 17-31.doi: 10.13998/j.cnki.issn1002-1248.20-0797

• 特约专稿 • 上一篇    下一篇

构建基于科技文献知识的人工智能引擎

张智雄1,2,3,4, 刘欢1,2,4, 于改红1   

  1. 1.中国科学院文献情报中心,北京 100190;
    2.中国科学院大学 经济与管理学院图书情报与档案管理系,北京 100190;
    3.中国科学院武汉文献情报中心,武汉 430071;
    4.科技大数据湖北省重点实验室,武汉 430071
  • 收稿日期:2020-09-29 出版日期:2021-01-05 发布日期:2021-02-05
  • 作者简介:张智雄(ORCID:0000-0003-1596-7487),男,博士,二级研究员,博导,研究方向为图书情报学智能信息处理。刘欢(1995- ),男,博士生,研究方向为深度学习、文本挖掘。于改红(ORCID:0000-0003-1301-2871),女,博士,馆员,研究方向为文本挖掘、情报分析
  • 基金资助:
    国家科技图书文献中心(NSTL)“下一代开放知识服务平台总体设计及关键技术研发”专项“基于深度学习的科技论文语步标注技术工具研发”(2019XM55); 中国科学院文献情报能力建设专项课题“基于科技文献知识的人工智能(AI)引擎建设”

Building an Artificial Intelligence Engine Based on Scientific and Technological Literature Knowledge

ZHANG Zhixiong1,2,3,4, LIU Huan1,2,4, YU Gaihong1   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. University of Chinese academy of sciences, Beijing 100049;
    3. Wuhan Library, Chinese Academy of Sciences, Wuhan 430071;
    4. Hubei Key Laboratory of Big Data in Science and Technology, Wuhan 430071
  • Received:2020-09-29 Online:2021-01-05 Published:2021-02-05

摘要: [目的/意义]如何利用科技文献中的知识对深度学习算法模型进行训练改进,以获取知识、发现知识是情报研究的重要课题。为充分挖掘和利用科技文献中的知识,本文提出构建基于科技文献知识的人工智能引擎的目标。[方法/过程]本文以文献情报工作为出发点,立足科技文献是人类知识的最重要载体,探究人工智能取得飞速突破的本质所在,创新性提出了文献情报领域从“科技文献库”转变为“科技知识引擎”的建设思路。[结果/结论]本文论述了中国科学院文献情报中心在构建基于科技文献知识的人工智能(AI)引擎的建设实践,探讨了利用深度学习技术挖掘知识以服务情报研究的方法,以期为学界提供参考。

关键词: 科技文献, 人工智能知识引擎, 预训练语言模型, 微调模型, AI引擎构建实践

Abstract: [Purpose/Significance] How to use the knowledge in the scientific and technological literature to train and improve the model of deep learning algorithm, and acquire knowledge and discover knowledge is an important subject of information research. In order to fully mine and utilize the value of literature knowledge, this paper proposes the goal of building an artificial intelligence (AI) engine based on scientific and technological literature knowledge. [Method/Process] It chooses the literature and information science work as the starting point and takes the scientific and technological literature as the most important carrier of human knowledge. This paper explores the essence of the rapid breakthrough of AI, and innovatively puts forward the construction idea of "science and technology knowledge engine" which is the transformation from "science and technology literature library" in the field of information science. [Results/Conclusions] This paper discusses the construction practice of AI engine based on scientific and technological literature knowledge and explores the method of using the deep learning technology to excavate knowledge to serve information research, so as to provide reference for peers.

Key words: scientific and technological literature, artificial intelligence (AI) knowledge engine, pre-trained language model, fine-tunning model, construction practice of AI engine

中图分类号: 

  • G250

引用本文

张智雄, 刘欢, 于改红. 构建基于科技文献知识的人工智能引擎[J]. 农业图书情报学报, 2021, 33(1): 17-31.

ZHANG Zhixiong, LIU Huan, YU Gaihong. Building an Artificial Intelligence Engine Based on Scientific and Technological Literature Knowledge[J]. Journal of Library and Information Science in Agriculture, 2021, 33(1): 17-31.