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Journal of Library and Information Science in Agriculture ›› 2021, Vol. 33 ›› Issue (1): 17-31.doi: 10.13998/j.cnki.issn1002-1248.20-0797

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• Special manuscript • Previous Articles     Next Articles

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

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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

CLC Number: 

  • G250
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