Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning

Abstract

The combination of new-generation information technology and manufacturing technology has had in a significant and profound impact on the future development paradigm of manufacturing. Machine tools are the basis of virtually everything that is manufactured in the industry, exploring the development of the machine tool domain is of considerable significance to identify the opportunity to develop manufacturing industry and promote the sustainable development of manufacturing in the current tightening constraints of resource environment. Although much attention has been paid to development studies of a specific domain in recent years, it is challenging to conduct a multidimensional study related to the development status of the machine tool domain using existing methods. To solve this challenge, we propose an integrating framework combining topic models, bibliometric, trend analysis and patent analysis to mine multi-source literature within the machine tool domain, including papers, funds, patents, and news. Specifically, papers and funds provided two different perspectives to explore the development status in the research of machine tools. Furthermore, the technology development of machine tools was investigated through patents analysis. Finally, news related to the machine tool industry in recent years was analyzed to examine business focuses on machine tools. The integration of above various analytical methods and multi-dimensional mining of literature enabled analyzing the development of the machine tool domain systematically from multi-perspectives that include research, technology development and industry to provide inspirations about the implications of sustainable development of this domain. The conclusions obtained in this paper is beneficial to different communities of machine tools, in terms of determining the research directions for researchers, identifying industry opportunities for corporations and developing reasonable industry policy for policy makers.

Network Proximity and Communities in Innovation Clusters Across Knowledge, Business, and Geography: Evidence From China

“…However, these studies failed to probe into the innovation clusters through multilayered networks perspectives [15], [16], and this paved the ways to measure cluster proximity in innovation clusters using the multiple layers as different networks [17], especially when concerned with the innovation clusters that can be viewed as communities in various layers -relevant research remains sparse.…”

“…Furthermore, some recent network literature investigated multilayered heterogeneous networks, and used these concepts to study the innovation systems that involve multiple dimensions such as knowledge, business, and geography. For example, some researches attempted to study the innovation ecosystem [15] and the development of the machine tool domain [16] through multilayered heterogeneous networks by using multisource data such as patents and business [17]. Based on these literature, this article proposed that we can use multisource data to develop multilayer heterogeneous networks, and use these combined indicators to measure cluster proximity in innovation clusters.…”

“…From a methodological point of view, some recent computer science research has developed a series of new methods to analyze network, including examining the interlayers between network communities [14], developing the indicators that measure the effects of one network on the other communities [15], [16], and developing the methods that can detect the community structure of social networks [18], [19]these methods haven't been brought into the innovation cluster literature, and these will provide new opportunities to measure cluster proximity in innovation clusters through a network lens.…”

Cost-Benefit Models on Integrating Information Technology Services in Automotive Production Management

“…After the application of new-generation information technology in the automotive industry, the automobile manufacturing industry comprehensively integrates big data, cloud computing, Internet of ings, and other new-generation information technologies in the entire process of R&D, design, management, manufacturing, sales, and service. e construction of intelligent manufacturing capacity in the automobile manufacturing industry chain has been strengthened, the interconnected network system has been improved, and intelligent management and control have been achieved [23]. After applying new-generation information technology, market demand information for automotive products will be effectively communicated to auto manufacturing companies.…”

Technology opportunity discovery by structuring user needs based on natural language processing and machine learning

“…Technology opportunities are discovered by analyzing user reviews and patents through sLDA [25]. Opinion mining is used to quantify the degree of positive or negative opinions about products or services [4, 26]. Also, posts on social network service such like Twitter are used for opinion mining to identify and monitor the development trends of emerging technologies including patent analysis [27].…”