中国科技期刊研究 ›› 2019, Vol. 30 ›› Issue (3): 225-231.doi: 10.11946/cjstp.201809050784

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人工智能与出版融合发展:内在机理、现实问题与路径选择

张海生1,2),吴朝平2)   

  1. 1)重庆文理学院教育创新研究院,重庆市永川区红河大道319号 402160
    2)重庆文理学院期刊编辑部,重庆市永川区红河大道319号 402160
  • 收稿日期:2018-09-05 修回日期:2019-01-01 出版日期:2019-03-15 发布日期:2019-03-26
  • 作者简介:张海生(ORCID:0000-0002-1779-9600),硕士,编辑,E-mail: 490150621@qq.com|吴朝平,硕士,编辑。
  • 基金资助:
    教育部人文社会科学研究青年基金“我国高校‘人工智能+新工科’融合发展模式研究”(19YJC880130);重庆文理学院校级重点科研项目“人工智能与出版融合发展研究”(Z2018JY12)

Convergence development of artificial intelligence and publishing: Internal mechanism, realistic problems, and path selection

ZHANG Haisheng1,2),WU Chaoping2)   

  1. 1)Educational Innovation Institute, Chongqing University of Arts and Science, 319 Honghe Avenue, Yongchuan District, Chongqing 402160, China
    2)Editorial Office of Journals, Chongqing University of Arts and Science, 319 Honghe Avenue, Yongchuan District, Chongqing 402160, China
  • Received:2018-09-05 Revised:2019-01-01 Online:2019-03-15 Published:2019-03-26

摘要:

【目的】以技术的智能性推动出版的科学性,为我国出版业的发展以及新旧媒体的融合发展注入新动能。【方法】采用文献分析法对人工智能与出版融合发展的基本理论与现实问题进行深入探讨。【结果】技术、数据和算法是人工智能与出版融合发展的3个关键要素,技术为人工智能与出版融合发展提供物质基础,数据为人工智能与出版融合发展提供内容基础,算法(软件)为人工智能与出版融合发展提供有效服务。人工智能与出版融合发展也面临着技术存在缺陷、出版资源数据化进程缓慢、出版有效供给不足和专业人才缺乏的现实困境。未来人工智能与出版融合发展需要在技术、数据、算法和人才4个层面协同推进,即要加强人工智能与出版融合发展的技术研究,加快人工智能与出版融合发展的数据内容生产,创新人工智能与出版融合发展的有效供给方式,构建支持人工智能与出版融合发展的人才培养体系。【结论】人工智能与出版融合发展是媒体融合发展的未来方向,具有较大的发展潜力和成长空间,学术期刊需要特别重视人工智能与出版的融合。

关键词: 人工智能, 智能出版, 媒体融合, 技术智能性, 出版科学性

Abstract:

[Purposes] This study aims to promote the scientificity of publishing through the intelligence of technology, and to inject new kinetic energy into the development of Chinese publishing industry and the convergence of new and old media. [Methods] The literature analysis method was used to deeply discuss the basic theory and practical problems of the integration of artificial intelligence and publishing. [Findings] Technology, data, and algorithms are the three key elements of the convergence development of artificial intelligence and publishing. Among them, technology provides material basis, data provides content support, and algorithms (software) provide effective services. However, it also faces the technical dilemma, the slow process of publishing resources dataization, and the lack of effective publication supply and professional talents. In the future, the convergence of artificial intelligence and publishing needs to be promoted in four levels which are technology, data, algorithms, and talents, namely, strengthen the technology research, accelerate the data content production, innovate the effective supply method, and build the talent training system. [Conclusions] The convergence development of artificial intelligence and publishing is the general trend of media convergence with strong development potential and growth space. Academic journals should pay attention to it.

Key words: Artificial intelligence, Intelligent publishing, Media convergence, Technical intelligence, Publishing scientificity