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关于重构情报学基础理论体系的思考
引用本文:杨建林.关于重构情报学基础理论体系的思考[J].情报学报,2020,39(2):125-134.
作者姓名:杨建林
作者单位:南京大学信息管理学院,南京 210023;江苏省数据工程与知识服务重点实验室,南京 210023
基金项目:国家社会科学基金重点项目“面向国家发展与安全决策的情报服务创新研究”(18ATQ003)
摘    要:与社会学等传统的社会科学相比,情报学的学科地位明显较低,其中一个重要原因是:情报学还没有形成一个被广泛接受的基础理论体系,情报学领域内争议较多,内行、外行对情报学的认知都不深刻。文章在剖析情报学理论流派、情报学范式的基础之上,探讨情报学各个研究领域之间的关系,构建一个广义情报系统体系结构模型,进而给出整合情报学现有理论体系的基本思路以及重构情报学基础理论体系的六点建议。其中,广义情报系统体系结构模型是重构情报学基础理论体系的基础,它将基于信息管理框架与知识管理框架的管理科学范式、基于intelligence的软科学范式、基于information的图书信息学范式这三大范式统一在一个模型之中。

关 键 词:情报学  基础理论体系  范式  情报系统  体系结构模型

Thoughts on Reconstructing the Foundational Theory System of Information Science
Yang Jianlin.Thoughts on Reconstructing the Foundational Theory System of Information Science[J].Journal of the China Society for Scientific andTechnical Information,2020,39(2):125-134.
Authors:Yang Jianlin
Institution:(School of Information Management,Nanjing University,Nanjing 210023;Jiangsu Key Laboratory of Data Engineering&Knowledge Service,Nanjing 210023)
Abstract:Compared with traditional social sciences such as sociology,the discipline status of information science is obviously lower.One of the important reasons for this difference in status is that information science has not yet formed a widely accepted foundational theory system,and the disputes in the field of information science are more controversial.Moreover,scholars both in and outside the discipline lack deep knowledge and awareness of the subject.Based on the analysis of the theory systems and the paradigms in information science,this paper explores the relationship among the research fields of the discipline,constructs an architecture model of generalized information system,then gives the basic idea of integrating the existing theoretical systems,and presents six suggestions for reconstructing the foundational theory system of the discipline.The model is the basis for reconstructing the foundational theory system of information science.It unifies three discipline paradigms,which are the management science paradigm based on the information management framework and the knowledge management framework,the intelligence-based soft science paradigm,and the information-based library and information science paradigm.
Keywords:information science  foundational theory system  paradigm  information system  architecture model of system
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