| 张晓林,梁娜.知识的智慧化、智慧的场景化、智能的泛在化——探索智慧知识服务的逻辑框架[J].中国图书馆学报,2023,49(3):4~18 |
| 知识的智慧化、智慧的场景化、智能的泛在化——探索智慧知识服务的逻辑框架 |
| Knowledge Is towards Being Wisdom,Wisdom Needs to Be Scenario based,and Intelligence Can Be Ubiquitously Embedded—Exploration of the Logical Framework of Intelligent Knowledge Services |
| 投稿时间：2023-04-20 |
| DOI： |
| 中文关键词: 知识对象 智能知识体 智慧知识服务 智联网 人工智能 图书馆 文献情报机构 |
| 英文关键词: Knowledge objects Intelligent knowledge agents Intelligent knowledge services Internet of ThinkingArtificial intelligence Libraries Documentation and information institutions |
| 基金项目: |
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| 摘要点击次数: 729 |
| 全文下载次数: 571 |
| 中文摘要: |
数字化转型+AI环境下,我们正处于知识生态环境和知识技术体系的交汇重塑中,对知识、智慧和智能基础设施的认识很大程度上将决定我们的生存方式和生存几率。知识对象已内在地结构化、语义化、可定制、可关联,已涵盖从内容对象到知识关系网络到知识创造与利用流程,成为可交互、可计算的智能体。在智慧化的各类知识对象支持下,通过场景驱动的创新机制,可在用户解决问题的过程中,通过数据、模型、计算和交互来支持感知智能、认知智能和决策智能。通过泛在智能机制(智联网),利用边缘智能、智能集成感知体、智慧知识内容对象、智慧化业务流程与管理机制等,可积极推动智慧知识对象生态体系的构建与管理、知识与数据双驱动的问题分析与决策推理、多源资源环境下AI赋能的个性化知识服务的动态构建,以有效推动智慧知识服务的普惠可及。为实现上述愿景,重要的是运用第一性原理思维,推动新形势下的服务逻辑和业务机制的范式转变。图2。参考文献67。
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| 英文摘要: |
With digital transformation and AI development,we are at the intersection of reshaping both knowledge ecosystems and knowledge technologies. Our understanding of knowledge objects,wisdom,and intelligent infrastructure,will largely determine our survival chances and directions. Knowledge objects have been inherently structured,semantic,customizable,and connected,at the same time covering from content objects to knowledge relationship networks to knowledge creation and utilization processes,becoming interactive and computable intelligent agents.
With the support of various intelligent knowledge objects and utilizing the scenario driven innovation mechanism,we can support perceptive intelligence,cognitive intelligence and decision making intelligence,in the process of users problem solving and through data,models,computation,and interaction. Furthermore,through the Internet of Thinking and making use of edge intelligence,intelligent integration of sensors,intelligent knowledge content objects,and intelligent process and management mechanisms,we can actively promote the development and management of intelligent knowledge object ecosystems,knowledge and data dually driven problem analysis and decision reasoning,and dynamic construction of AI enabled personalized services in multiple resource environments,to effectively support the inclusive accessibility of smart knowledge services. However,to realize the above vision,it is important to apply first principle thinking to promote the paradigm shift of service logics and business mechanisms in the new environment. 2 figs. 67 refs.
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