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。

关键词: 大数据, 学术出版, 人工智能, 选题策划, 知识服务

Abstract:

[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. [Finding] 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.

Key words: Big data, Academic publishing, Artificial intelligence, Topic selection, Knowledge service