文章摘要
向飒. 人工智能对学术出版流程的再造及知识服务提升. 中国科技期刊研究, 2018, 29(11): 1091-1096
人工智能对学术出版流程的再造及知识服务提升
Reconstruction of academic publishing process and improvement of knowledge service by artificial intelligence
投稿时间:2018-07-27  修订日期:2018-09-24
DOI:10.11946/cjstp.201807270674
中文关键词: 大数据  学术出版  人工智能  选题策划  知识服务
英文关键词: Big data  Academic publishing  Artificial intelligence  Topic selection  Knowledge service
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基金项目:河南省教育厅人文社科资助项目(2018-ZZJH-534);河南省优势特色学科平台项目“新媒体环境下生产和经营创新的数字内容影响力提升” ;河南省科技厅软科学项目(182400410246)
作者单位E-mail
向飒 郑州大学学报编辑部,河南省郑州市高新区科学大道100号 450001
郑州大学新闻与传播学院,河南省郑州市高新区科学大道100号 450001 
xiangsa@zzu.edu.cn 
中文摘要:
      【目的】 为提升大数据时代学术出版系统内部生产管理流程的效率和对外信息服务的能力,探讨未来人工智能技术对学术出版流程的重构和知识服务能力的提升。【方法】 综合调查法、文献分析法等研究方法调研人工智能技术对学术出版流程的推进和知识服务能力的提升工作。【结果】 人工智能技术不仅可以加速学术传播,推动出版流程各个环节之间数据传递和支持,从而重构智能化的学术出版流程,实现出版流程的选题策划便捷化、编辑加工流程自动化、生产印刷流程按需化以及营销发行流程精准化,还可以大大提升学术出版的知识服务能力,实现知识服务的行为智能化、思维智慧化、场景可视化、途径多元化和传播生态化。【结论】 出版流程和知识服务与人工智能深度融合是学术出版的未来发展方向,也是学术出版系统从低层次传播到高层次服务的价值功能转型升级的必经之路。
英文摘要:
      [Purposes] In order to improve the efficiency of internal production management process and the ability of external information service of academic publishing system in the era of big data, this paper discusses the reconstruction of academic publishing process and the improvement of knowledge service capability by future artificial intelligence technology. [Methods] The comprehensive investigation method and literature analysis method were used to investigate the advancement of the academic publishing process and the improvement of knowledge service capability. [Findings] Artificial intelligence technology can accelerate the scholarly communication, promote each link between the data transfer and support in the publishing process, so as to reconstruct the intelligent academic publishing process, and realize the publishing process forward facilitation, editing process automation, production printing process on demand, and precise marketing distribution process. Artificial intelligence technology also can greatly promote the knowledge service of academic publishing ability, and realize the intelligent behavior of knowledge services, intelligent thinking, scene visualization, path diversification, and communication ecologicalization. [Conclusions] The deep integration of publishing process and knowledge service with artificial intelligence is the future development direction of academic publishing, which is also the only way for the transformation and upgrading of value function of academic publishing system from low-level communication to high-level service.
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