摘要
在国家的倡导和推动下,各学术期刊正积极探索刊网融合工作,取得一定成效,也发现一些问题,主要集中体现在如何实现从“专业学术”到“大众阅读”转化的问题、如何调和“慢”出版与“快”传播之间矛盾的问题、如何让编辑由“线性思维”迈向“互联网思维”发展的问题、如何兼顾社会效益与经济效益的问题4个方面。人工智能技术以其强大的数据处理能力和智能化学习机制,可以为这些问题提供新的解决方案,助力新时代学术期刊实现更好的融合发展。
Under national advocacy and promotion,various academic journals are actively exploring the integration of journals and the Internet,which has achieved certain results,but there are also some problems which mainly con-centrate on four aspects:how to transform from"professional academic"to"mass reading",how to reconcile the contradiction between"slow"publishing and"fast"dissemination,how to make editors move from"linear think-ing"to"Internet thinking",and how to take into account social and economic benefits.With its powerful data pro-cessing capabilities and intelligent learning mechanisms,artificial intelligence technology can provide new solutions for these problems,so as to help academic journals achieve better integrated development in the new era.
作者
罗斌
LUO Bin(School of Foreign Police Affairs,People's Public Security University of China,Beijing,100091 China)
出处
《科技资讯》
2024年第10期24-27,共4页
Science & Technology Information
关键词
人工智能
刊网融合
学术期刊
互联网思维
Artificial intelligence
Integration of journals and the internet
Academic journal
Internet thinking