【摘要】 [研究目的]面向开放科学的知识服务智能化根据任务信息和用户需求，为用户主动提供搜索导航、深度加工、精准推送、决策咨询等方面的内容业务，从而建立起知识资源顺畅流动的通道，最大限度保障了用户对知识资源的共享和按需使用。[研究方法]针对开放科学环境下知识服务存在的发展困境，探讨“人工智能+”破解知识服务困境的逻辑机理，并进一步阐明知识服务智能化的总体架构及驱动机制。[研究结论]考虑到知识服务智能化不能一蹴而就，提出以下三条实现路径，即搭建去中心化的联盟链组织、打造一站式“知识服务链”平台、构建协同生产的激励机制。更多还原

【Abstract】 [Research purpose]The intelligent knowledge services oriented to open science actively provide users with content services such as search navigation, deep processing, precise push, and decision-making consulting according to task information and user needs, which established a channel of knowledge resource smooth flow and ensured users’ sharing and on-demand use of knowledge resource to the maximum extent. [Research method] In view of the development dilemma of knowledge services in the open science environment, this paper discusses the logical mechanism of "AI +" in solving the dilemma of knowledge services, and further expounds the overall framework and driving mechanism of intelligent knowledge services.[Research conclusion] Considering that the intellectualization of knowledge services cannot be achieved overnight, three paths are proposed—building a decentralized alliance chain organization, building a one-stop "knowledge services chain" platform, and building an incentive mechanism for collaborative production.更多还原