Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory

Abuhay, Tesfamariam M.; Kovalchuk, Sergey V.; Bochenina, Klavdiya; Mbogo, Gali-Ketema; Visheratin, Alexander A.; Kampis, George; Krzhizhanovskaya, Valeria V.; Lees, Michael

doi:10.1016/j.jocs.2018.04.004

Cited by 28 publications

(18 citation statements)

References 23 publications

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“…Yang et al explored the research trending topics of smart factories using topic modeling method to determine the future research directions [11]. Abuhay et al modeled the underlying topical structures of the International Conference on Computational Science and provided insights regarding the past and future technology trends in computational science [32]. In these works, topic models mined a large amount of literature contents to obtain latent intellectual structures of focuses related to a specific technology domain, which could be used subsequent technology forecasting task.…”

Section: Machine Learning Methods In Emerging Technologies Analysismentioning

confidence: 99%

“…Implementing detailed mining of literature contents can help us obtain deeper insight into technology development [11]. To effectively process and analyze the contents of scientific literature, machine learning method based on topic models has been proposed and widely used in technology mining tasks in recent years [27][28][29][30][31][32][33]. The topic models in above works can be applied to mine a large amount of literature contents to obtain latent intellectual structures of technology focuses related to a specific domain, which can model the inherent heterogeneous structures within technology.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Machine Learning Methods In Emerging Technologies Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Yang et al explored the research trending topics of smart factories using topic modeling method to determine the future research directions [11]. Abuhay et al modeled the underlying topical structures of the International Conference on Computational Science and provided insights regarding the past and future technology trends in computational science [31]. In these works, topic models mined a large number of literature contents to obtain latent intellectual structures of technological focuses related with a specific technology domain which could be used subsequent technology forecasting task.…”

Section: Machine Learning Methods In Emerging Technologies Analysismentioning

confidence: 99%

“…Implementing detailed mining of literatures content can help us obtain deeper insight into technology development [11]. To effectively process and analyze the content of scientific literatures, machine learning method based on topic models have been proposed and widely used in technical foresight tasks in recent years [26][27][28][29][30][31][32]. The topic models in above works can be employed to mine a large number of literature contents to obtain latent intellectual structures of technological focuses related with a specific technology domain, which can model the complex inherent heterogeneous technology structures.…”

Section: Raju Et Al Carried Out An Qualitative Literature Study To Dmentioning

confidence: 99%

“…31 dimensional vectors, ∅ denotes a matrix with × dimension containing all topics' multinomial distributions. ⃗ , denotes the probability of generating word w given topic k and it satisfies ∑ ⃗ , = 1 , where w=1,...,V. Then each word in document m can be generated by sampling from the corresponding multinomial distribution of latent assignment topic: p , | = , = ⃗ , .…”

mentioning

confidence: 99%

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

Chen¹,

Zhang²,

Zhou³

et al. 2019

Preprint

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The combination of new-generation information technology and manufacturing technology has resulted in major and profound impact on future development paradigm of manufacturing. It is challenging for existing methods to conduct a multidimensional trend exploration related to machine tool domain, which is the basis of virtually everything in manufacturing. In this paper, we proposed an integrating approach framework combined topic models, bibliometric, trend analysis and patent analysis to mine insightful information about future development from multi-source data related to machine tool, such as papers, grants, patents and news. Specifically, papers and grants provided two different perspectives to explore the current focuses and future trends in machine tool research. Furthermore, the future technology development of machine tool was investigated through patents analysis. Finally, news related to machine tool industry in recent years was analyzed to analyze future machine tool business mode. The integration of the above various analytical methods and the multi-dimensional mining of literatures enabled the analysis of the future development of machine tool domain systematically from multi-perspectives which include research, technology development and industry. The conclusions obtained in this paper is beneficial to different communities of machine tool in terms of determining the research directions for researchers, identifying industry opportunities for corporations and developing reasonable industry policy for policy makers.

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A Review of Topic Modeling and Its Application

Sandhiya¹,

Boopika²,

Akshatha³

et al. 2022

Handbook of Intelligent Computing and Optimization for Sustainable Development

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Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory

Cited by 28 publications

References 23 publications

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

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

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

A Review of Topic Modeling and Its Application

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