Evaluation of Large Data Analysis Function of Chinese National Knowledge Infrastructure Based on Mountain Tourism Research in China

More and more scholars use big data as a literature analysis tool and have made certain achievements. But few study has evaluated this method. This paper makes an attempt on this problem by using the big data analysis function of Chinese National Knowledge Infrastructure (CNKI) database. The 4 statistical functions of "Quantity Change", "Keywords Co-occurrence Network", "Research Institutions" and "Research Hierarchy Distribution", which are included in "Metering Visualization Analysis" brought by CNKI itself, are used to discuss the current research status of mountain tourism in China. The result shows that, "Metering Visualization Analysis" is useful and effective. Although it is one of the best statistical tools in literature review, which can help us grasp the main research status as a whole, it still has some limitations. Using big data to analyze the literatures should be fully integrated into the subject background to further explore the statistical results. And the function of big data analysis must be refined and improved by technicians further on. Only in this way can we acquire the ideas, methods and results of certain papers in details, and master the main current situation of certain research as well as the trend of future development.