運用專利資料探討雲端運算技術發展趨勢

Fang-Mei Tseng; Sheng-Chieh Chen

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台湾最大的引用文献资料库，目前收录台湾与港澳地区所出版的人文学、社会学领域学术期刊之书目资料与参考文献，总期刊量超过690种，每年定期公布收录期刊的影响指数(Impact Factor)等指标给大众，并提供专家学者与学术单位实用的计量与分析功能。

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作者姓名。文章篇名。期刊名称。 YYYY/MM/DD线上预先发表。

doi:DOI 号

来源数据

P33 - 63

社会科学 > 管理学

DOI： 10.6378/JTM

书目管理工具

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运用专利资料探讨云端运算技术发展趋势

Application of Patent Data for the Analysis of Technology Development Trends in Cloud Computing

曾芳美(Fang-Mei Tseng) ；陈圣杰(Sheng-Chieh Chen)

科技管理学刊； 29 卷 1 期 (2024 / 06 / 01) ， P33 - 63

繁体中文;英文

云端运算；技术发展趋势分析；文字探勘；专利分析；关键词共现网络分析；复合词； Cloud Computing ； Technology Development Trend Analysis ； Patent Analysis ； Text Mining ； Keyword Co-occurrence Network Analysis ； Compound Keywords

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摘要 │ 参考文献 (72)

摘要〈TOP〉

并列摘要〈TOP〉

Cloud computing is currently a prominent topic in the field of network technology. Due to the impact of the COVID-19 pandemic, the digital transformation of businesses has accelerated, driving the demand for cloud computing services. Significant business opportunities in cloud computing have intensified competition among key players. Patents contain a wealth of technical and critical business information, and analyzing patent data to understand the technology development trends in cloud computing can help companies formulate appropriate and strategic development strategies. Currently, most cloud computing research is primarily published in engineering, information systems, and technical journals, and the use of patent data to analyze technology development trends remains limited. Traditionally, the analysis of technology trends has often relied on bibliometrics, which has limitations. Therefore, in recent years, text analysis has gradually been applied to analyze patent information. To this end, keyword co-occurrence network analysis can be used. However, it is often applied to single keywords, and cannot differentiate between the same keywords used in different contexts. It also does not address issues such as homonyms and synonyms, language variations, and so forth. Therefore, this study developed a co-occurrence network analysis method that analyzes compound keywords. It was applied to international patent classification numbers, company names, and patent titles to explore the patent distribution within companies, identify patent activity tracks, and provide a reference for future corporate strategies. It was also used to establish a complete text-mining technology prediction model. There are several important findings. First, the number of patents peaked from 2016 to 2022. Second, the field of patent research can be divided into four stages: the embryonic (1998-2002), rooting (2003-2009), development (2010-2019), and application (2020-2022) periods. Third, the cloud computing field mainly encompasses five areas: cloud architecture, big data and artificial intelligence, privacy and security, network and communication, and application development and management. Fourth, the key patent keywords in cloud computing fall into six categories. Fifth, in recent years, patented inventions in cloud computing have focused on G06N 20 "machine learning," H04L 09 "network security protocols," G06T 0700 "image analysis," and G10L 1518 "natural language modeling."

参考文献 ( 72 ) 〈TOP〉

张郁蔚(2012)。图书参考文献对人文社会学科跨学科特性之影响：以图书资讯学为例。教育资料与图书馆学，50(2)，201-227。
连结：
Access, C. S. I. (2023), "Defend Against Ransomware Attacks With Citrix and Google Chrome OS", Citrix, From: https://www.citrix.com/content/dam/citrix/en_us/documents/ solution-brief/defend-against-ransomware-attacks-with-citrix-and-google-chrome-os.pdf
Ahmad, W.,Rasool, A.,Javed, A. R.,Baker, T.,Jalil, Z.(2021).Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey.Electronics,11(1),16.
Aksnes, D. W.(2003).A Macro Study of Self-citation.Scientometrics,56(2),235-246.
Aparajit, S.,Shah, R.,Chopdekar, R.,Patil, R.(2022).Data Protection: The Cloud Security Perspective.The 2022 3rd International Conference for Emerging Technology

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