In the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate a testable hypothesis is well on its way of becoming obsolete within j...In the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate a testable hypothesis is well on its way of becoming obsolete within just a year or two. Analyzing the literature and data to automatically generate a hypothesis might become the de facto approach to inform the core research efforts of those trying to master the exponentially rapid expansion of publications and datasets. Here, viewpoints are provided and discussed to help the understanding of challenges of data-driven discovery.展开更多
With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has be...With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has been the subject of numerous scientific publications.On January 1,2018,we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset(WS)and High-Citation SCI Dataset(HCS).These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990-2017.Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period,the United States was the most productive country.Besides,our keyword analysis reveals the potential popular issues and future trends of flood research.展开更多
This paper combed the literature of the Rural Tourism Complex(RTC) on China National Knowledge Infrastructure(CNKI), analyzed progress of domestic research on RTC in recent years based on the method of mathematical st...This paper combed the literature of the Rural Tourism Complex(RTC) on China National Knowledge Infrastructure(CNKI), analyzed progress of domestic research on RTC in recent years based on the method of mathematical statistics, and found out that current domestic researches focused on three aspects, namely basic concept and theory, planning and operation, influence and effect. Based on the characteristics of existing researches, the paper pointed out the future direction of the research about RTC:(1) In terms of content: lay emphasis on the summary of practical experience and the perfection of the theoretical system, further enhance the application value of the theoretical research to guide the development and construction of regional rural tourism complex;(2) In terms of method: pay attention to the combination of quantitative and qualitative analysis and the application of multi-disciplinary theories to expand the perspective of the relevant studies..展开更多
文摘In the current data-intensive era, the traditional hands-on method of conducting scientific research by exploring related publications to generate a testable hypothesis is well on its way of becoming obsolete within just a year or two. Analyzing the literature and data to automatically generate a hypothesis might become the de facto approach to inform the core research efforts of those trying to master the exponentially rapid expansion of publications and datasets. Here, viewpoints are provided and discussed to help the understanding of challenges of data-driven discovery.
基金National Key Research and Development Program of China(2016YFE0122600)。
文摘With an increasing number of scientific achievements published,it is particularly important to conduct literature-based knowledge discovery and data mining.Flood,as one of the most destructive natural disasters,has been the subject of numerous scientific publications.On January 1,2018,we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset(WS)and High-Citation SCI Dataset(HCS).These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990-2017.Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period,the United States was the most productive country.Besides,our keyword analysis reveals the potential popular issues and future trends of flood research.
基金Sponsored by Fund for the Construction of Predominant Disciplines in Universities and Colleges of Jiangsu Province(PAPD)Jiangsu Provincial Collaborative Innovation Center for the Development and Utilization of Geographical Information Resources
文摘This paper combed the literature of the Rural Tourism Complex(RTC) on China National Knowledge Infrastructure(CNKI), analyzed progress of domestic research on RTC in recent years based on the method of mathematical statistics, and found out that current domestic researches focused on three aspects, namely basic concept and theory, planning and operation, influence and effect. Based on the characteristics of existing researches, the paper pointed out the future direction of the research about RTC:(1) In terms of content: lay emphasis on the summary of practical experience and the perfection of the theoretical system, further enhance the application value of the theoretical research to guide the development and construction of regional rural tourism complex;(2) In terms of method: pay attention to the combination of quantitative and qualitative analysis and the application of multi-disciplinary theories to expand the perspective of the relevant studies..
