摘要
[目的/意义]传统文献信息经历了从文本化、数字化到网络化的演变过程,目前正在向数据化、智慧化迈进,在此过程中文献信息的价值也产生了延展与升华。对文献信息价值的重构一方面为图书馆学、情报学、文献学等学科发展提供技术理论支撑;另一方面为文献信息服务工作提出智慧化的应用场景。[方法/过程]文章系统梳理了文献信息及其价值的演进阶段,通过建立文献信息生态圈,剖析文献信息价值重构的动因,全面阐释了从文献信息到智慧再到文献的进化过程,将人工智能技术作为文献信息理论价值的延展,将智慧服务作为文献信息应用价值的升华。[结果/结论]秉承以技术驱动、智慧向善、服务用户的核心理念,从理论价值和应用价值角度对文献信息价值进行重构,以促进图书馆学、情报学、文献学等学科适应新时代的发展。
[Purpose/significance]Traditional document information has undergone an evolution process from textualization,digitization to networking,and is currently moving towards dataization and intelligence.In this process,the value of document information has also been extended and sublimated.On the one hand,the reconstruction of the value of document information provides technical theoretical support for the development of disciplines such as library science,information science,and philology;on the other hand,it proposes intelligent application scenarios for document information services.[Method/process]The article systematically sorts out the evolution stage of document information and its value,and analyzes the motivation of the reconstruction of document information value through the establishment of a document information ecosystem,comprehensively explains the evolution process from document information to wisdom and then to literature,and uses artificial intelligence technology as a document The extension of the value of information theory,taking smart services as the sublimation of the application value of document information.[Result/conclusion]Adhering to the core concept of technology-driven,wisdom for good,and serving users,the value of literature and information is reconstructed from the perspective of theoretical value and application value to promote library science,information science,philology and other disciplines to adapt to the development of the new era.
出处
《情报理论与实践》
CSSCI
北大核心
2021年第2期1-7,共7页
Information Studies:Theory & Application
基金
黑龙江省高校基本科研业务费黑龙江大学专项资金项目“人工智能与大数据政策协同模型构建研究”的成果之一,项目编号:2020-KYYWF-0934。
关键词
文献信息
生态圈
价值重构
人工智能技术
智慧服务
document information
ecosphere
value reconstruction
artificial intelligence technology
smart service
