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| Research on the Application Model of Knowledge Innovation Service Based on Data Science |
| Cao Jiajun1, Wang Yuefen1, 2 |
1. School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094;
2. Jiangsu Social Public Security Technology Cooperative Innovation Center, Nanjing 210094 |
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Abstract 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.
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Received: 26 September 2018
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