International Core Journal of Engineering 2020-26 | Page 218

papers on artificial intelligence research declined. Figure 6: GUI of Input path to convert text format The results show that the domestic artificial intelligence research is in a state of silence before 2017. It will explode in 2017, and 279 articles will be issued, reaching the maximum value, accounting for 20.4% of the total articles (because the 2018 papers are not fully published, no Incorporate statistics). In 2018, the number of publications has only counted on June 26, and it has reached 293 [15]. It shows the rapid development of artificial intelligence related research. Figure 4: keyword map of the big data artificial intelligence C. Cited clustering knowledge map 5786 related articles covered 98 subject categories. Use TDA to output the subject category field, generate a co-occurrence matrix of subjectcategory, import the matrix into Ucinet and Netdraw, and use its drawing function to obtain the co-occurrence map of the international artificial intelligence research subject category, as shown in Figure 5. The figure shows seven distinct clusters, including computer science, engineering, automation and control systems, medicine, social sciences, philosophy, mining, medical informatics, mathematical sciences, chemistry, agriculture, astronomy, and earth sciences [12]. In order to carry out a more detailed analysis of the field of artificial intelligence research, it is classified into 11 fields by clustering results of subject categories and manual interpretation. The analysis of the amount and proportion of papers in each field can show its research heat and importance. Figure 7: GUI of the cited documents The GUI shows the cited documents (these documents reflect the knowledge base), which are also the node information displayed directly in the map. This aspect is attributed to the continuous breakthrough and development of domestic artificial intelligence technology, which has led to the discussion and research of relevant theories. On the other hand, it is attributed to the state's emphasis on artificial intelligence and big data, which has promoted the development and progress of artificial intelligence research. IV. C ONCLUSION The research and application of artificial intelligence involves computer science, engineering, automation and control systems, medical informatics, and mathematics. Computer science, automated control systems, and engineering are the core disciplines of researchers' attention. As a branch of computer science, the field of artificial intelligence has been absorbing new theories and principles over time, involving automation and control systems science, medicine, mathematical science and chemistry, biological sciences, astronomy and earth sciences. It has penetrated into the social sciences such as philosophy, psychology, history, anthropology, and sociology, and has become a science with a wide range of disciplines and a wide range of Visualization application. Figure 5: the co-occurrence map of the international artificial intelligence D. Issue analysis Statistical analysis of the publication year, from the time distribution can understand the development history and research heat of the research topic. According to the results of CNKI search, the annual amount of domestic artificial intelligence is published [13, 14]. In the past 27 years, 1362 papers have published. The earliest published research on artificial intelligence in journals and CSSCI journals began in 1992. Zhuang Renqing systematically introduced the current situation of the development and application of artificial intelligence technology in various power companies in Japan, and opened the level of artificial intelligence research in China to a better level. R EFERENCES [1] [2] [3] 196 Tiwary A, Mahato M, Chidar A, et al. Internet of Things (IoT): Research, Architectures and Applications[J]. International Journal on Future Revolution in Computer Science & Communication Engineering, ISSN (4), 2018: 2454-4248. Olshannikova E, Ometov A, Koucheryavy Y, et al. Visualizing Big Data with augmented and virtual reality: challenges and research agenda[J]. Journal of Big Data, 2015, pp2 (1): 22. Ahmed E, Yaqoob I, Hashem I A T, et al. The role of big data analytics in Internet of Things[J]. Computer Networks, 2017, pp(129): 459-471.