中文    English

Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (4): 59-67.doi: 10.13998/j.cnki.issn1002-1248.2019.12.18-1108

;

• Applied practice • Previous Articles     Next Articles

Application of Artificial Intelligence in Digital Microfilming

YANG Liuqing   

  1. Department of Microfilm Literature, National Library of China, Beijing 100081
  • Received:2019-12-18 Online:2020-04-05 Published:2020-04-28

Abstract: [Purpose / Significance] Artificial intelligence (AI) technology into digital microfilm is of great significance for optimizing the mode of processing digital microfilms, building an information-based intelligent interactive platform, and comprehensively improving the digital microfilm service level and service capabilities. Aim of this study is to systematically sort, study and summarize the current application situation of AI technology in digital microfilming, and to provide reference for the future study in this field. [Method / Process] We enumerate the current application scenarios of AI in digital microfilming, and systematically analyze shortcomings of current applications, including insufficient research funds, shortage of talents and team, and incomplete data integration systems, and solutions are then proposed. [Results / Conclusions] With the development of intelligent application equipment and systems, AI strongly promotes development of digital microfilming. Through such development paths and strategies as innovative thinking, developing microfilm document database systems with intelligent screening, building intelligent digital microfilming process systems, and enhancing the training of teams, we will be able to promote the integration of digital and intelligent development. The intelligent service model integrated with processing is the development trend of the future digital micro-technology.

Key words: digital microfilm, artificial intelligence (AI), intelligent system

CLC Number: 

  • G252
[1] 曹宁,张阳.数字缩微:理念创新与发展方向[J].数字与缩微影像,2011(4):22-25.
[2] Rob Callan.人工智能[M].北京:电子工业出版社,2004:5.
[3] 勾丹,崔淑贞.智慧图书馆的智慧服务模式及其实现[J].情报探索,2016,(3):112-115.
[4] 孙莹莹,李建中.新技术在图书馆缩微工作中的应用前景分析[J].情报探索,2016,(7):75-82.
[5] 杜小勇,袁媛,钱防震,等.数字图书馆个性化推荐系统DLPers的设计与实现[A].第二十届全国数据库学术会议论文集(技术报告篇)[C].全国数据库学术会议,2003:303-306.
[6] 丁波涛. 人工智能技术在新型智库建设中的应用初探[J].数字图书馆论坛,2018(3):7-11.
[7] 刘慧云,陈定权.我国图书馆缩微技术的发展历程和未来走向[J].图书馆论坛,2017(1):10-18.
[8] 魏大威.数字缩微:应用数字技术推进文献缩微事业转型发展[J].数字与缩微影像,2014(2):1-3.
[9] 花建. 新视听技术与文化产业的新业态[J].同济大学学报(社会科学版),2019(1):33.
[10] 邹凯,汪全莉.智能搜索引擎与数字图书馆个性化服务[J].情报科学,2004,22(7):874-877.
[11] 柯平,宫平.数字人文研究演化路径与热点领域分析[J].中国图书馆学报,2016(6):13-30.
[12] 丁波涛. 人工智能技术在新型智库建设中的应用初探[J].数字图书馆论坛,2018(3):7-11.
[13] 朱昊. 人工智能时代新型数字图书馆建设:机遇与挑战[J].图书馆学刊,2018(12):113-114.
[14] 张兴旺. 从Alpha Go看人工智能给图书馆带来的影响与应用[J].图书与情报,2017(3):43-50.
[15] 张兴旺. 以信息推荐为例探讨图书馆人工智能体系的基本运作模式[J].情报理论与实践,2017(12):69-74.
[16] 陈婷. 缩微技术发展应用的明天——与数字技术的融合[J].数字与缩微影像,2007(3):13-18.
[17] 《国家图书馆学刊》记者.解决电子数字文献长期保存问题刻不容缓——国家图书馆孙卫总工程师专访之三[J].国家图书馆学刊,2006(3):52-55.
[18] 李晓明. 全国图书馆文献缩微工作“十三五”规划思考与战略框架[J].数字与缩微影像,2016(1):1-4.
[19] 杜文学. 数转模古籍文献编辑整理[J].数字与缩微影像,2018(1):16-18.
[20] WBijker, Thomas P Hughes, Trevor Pinch. The Social Construction of Technological System: New Direction in the Sociology and History of Technology[M].Cambridge,MA:MITPress,1987.
[21] 初景利. 数字网络化与图书馆服务的战略转型[J].图书与情报,2017(1):98-104.
[22] 张欣. 人工智能时代图书馆服务效能的提升:逻辑与路径[J].图书馆学刊,2018(12):4-6.
[23] 于丽丽. 人工智能与图书馆服务的深度融合路径研究[J].河南图书馆学刊,2018(12):124-126.
[24] 吴建中. 人工智能与图书馆[J].图书与情报,2017(6):1-5.
[25] 齐淑珍,张阳.缩微技术在数字资源长期保存中的作用[J].现代情报,2013(6):151-153.
[1] GUO Weijia. Influencing Factors of Artificial Intelligence Readiness in Libraries [J]. Journal of Library and Information Science in Agriculture, 2022, 34(5): 47-56.
[2] 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.
[3] NING San-xiang. Analysis on the Differences Between Traditional and Digital Microfilm Technologies——A case of National Library of China [J]. , 2016, 28(2): 103-105.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!