图书情报工作 ›› 2021, Vol. 65 ›› Issue (15): 78-90.DOI: 10.13266/j.issn.0252-3116.2021.15.010

• 工作研究 • 上一篇    下一篇

AI+智慧知识服务生态体系研究设计与应用实践——以中国科学院文献情报中心智慧服务平台建设为例

钱力1,2, 刘细文1,2, 张智雄1,2, 刘会洲1,2   

  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
  • 收稿日期:2020-11-05 修回日期:2021-02-17 出版日期:2021-08-05 发布日期:2021-08-07
  • 通讯作者: 刘细文(ORCID:0000-0003-0820-3622),主任,研究员,博士生导师,通讯作者,E-mail:liuxw@mail.las.ac.cn
  • 作者简介:钱力(ORCID:0000-0002-0931-2882),信息系统部主任,研究馆员,硕士生导师;张智雄(ORCID:0000-0003-1596-7487),副主任、中国科学院武汉文献情报中心主任,研究馆员,博士生导师;刘会洲(ORCID:0000-0002-7808-8570),主任,研究员,博士生导师。
  • 基金资助:
    本文系中国科学院文献情报能力专项"文献情报"数据湖及"数据质量体系建设"(项目编号:Y9290904)研究成果之一。

Design and Application of Ecological System of Intelligent Knowledge Service Based on AI——An Example of Building of Intelligent Service Platform of National Science Library, CAS

Qian Li1,2, Liu Xiwen1,2, Zhang Zhixiong1,2, Liu Huizhou1,2   

  1. 1 National Science Library, Chinese Academy Sciences, Beijing 100190;
    2 Department of Library Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2020-11-05 Revised:2021-02-17 Online:2021-08-05 Published:2021-08-07

摘要: [目的/意义] 人工智能(AI)正引发链式反应般的科学突破,引领新一轮科技革命和产业变革,图书文献情报领域如何利用AI技术提供智慧知识服务与智能情报系统是当前行业关注的焦点与热点。[方法/过程] 从图书情报行业内外综合分析AI技术与大数据为知识服务范式带来的新平台、新服务以及新机遇与新挑战,提出"AI技术+大数据"驱动的智慧知识服务生态体系建设的总体思路,从智慧数据、智慧中台与智慧服务3个层面共同构建"科情大脑",提供覆盖科技管理、科技创新与社会学术信息环境的开放智慧知识服务生态环境。[结果/结论] 以中国科学院文献情报中心的文献情报数据湖、智能知识服务引擎、智慧知识发现、智慧知识管理、智能情报分析系统以及智能感知环境6个方面进行探索建设,取得有意义的成效。面向未来,阐明AI技术在面向大数据治理、细粒度知识识别、精准服务提供等方面,仍需要在数据、技术以及服务模式上进一步提升。

关键词: 人工智能(AI), 科技大数据, 智慧知识服务, 深度学习

Abstract: [Purpose/significance] Artificial Intelligence is triggering a chain reaction-like scientific breakthrough, leading a new round of scientific and technological revolution and industrial transformation, how to use AI to provide Intelligent Knowledge Services and Intelligent Information system is the current focus of attention and hot spot. [Method/process] This paper analyzed AI technology and big data from inside and outside the library and information domain to bring new platforms, new services and new opportunities and challenges to the knowledge service paradigm, and provided the idea of building the Intelligent Knowledge Service ecosystem driven by "AI technology and big data", and built the "science brain" method from the three levels of intelligent data, wisdom center and intelligence service, and provided an open intelligent knowledge service ecological environment covering science and technology management, scientific and technological innovation and social academic information environment. [Result/conclusion] As an exploration building of National Science Library Chinese Academy of Sciences, about Data Lake of Library and Information, Intelligent Knowledge Service engine, Intelligent Knowledge Discovery, Intelligent Knowledge Management, Intelligent Knowledge Analysis and Intelligent Sense Environment, and good results have been achieved. In the future, AI technology for big data government, fine-grained knowledge recognition, precision service and so on, still need to be further improved in data, technology and service models.

Key words: artificial intelligence-ai, sci-tech big data, intelligence knowledge service, deep learning

中图分类号: