基于数据科学的知识创新服务应用模式构建研究

Research on the Application Model of Knowledge Innovation Service Based on Data Science

大数据时代背景下知识需求发生变化,现有知识服务模式难以适用于知识创新发展与数据密集型科学研究范式的转变,需要导入数据科学构建面向知识创新服务的应用模式。本研究在概述知识创新、知识服务、数据科学的基础上,探索知识创新服务的概念与特点及导入数据科学的目的,并分析知识创新服务模式的研究现状。进而提出知识创新服务模式构建需求及目标,尝试构建基于数据科学的知识创新服务应用模式。研究认为基于数据科学的知识创新服务模式主要应由数据基础层、分析逻辑层和结果展现层三个层面构成。同时,依据知识内容分析、知识创新模式等角度,从四个方面对知识创新服务模式进行阐述。

In the era of big data,knowledge demand has changed.The existing knowledge service model is not feasible for the development of knowledge innovation and for the transformation of data-intensive scientific research paradigms.Therefore,it is necessary to establish an application pattern facing knowledge innovation by introducing data science.Through summarizing knowledge innovation,knowledge service,and data science,this research explores the concept and characteristics of knowledge innovation service and the aim of introducing data science.Additionally,it analyzes the current situation in knowledge innovation service model research.Further,it presents the aim and the demand of knowledge innovation service model;and finally,it tries to build an application pattern of knowledge innovation service based on data science.The research considers that the application pattern of knowledge innovation service based on data science consists of three layers:database layer,analysis logic layer,and result presentation layer.Based on knowledge content analysis,knowledge innovation model,and other angles,this paper expounds the service model of knowledge innovation from four different perspectives.