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Journal Article Exploring the Dynamic Knowledge Structure of Studies on the Internet of Things: Keyword Analysis
Cited 21 time in scopus Download 283 time Share share facebook twitter linkedin kakaostory
Authors
Young Seog Yoon, Hangjung Zo, Munkee Choi, Donghyun Lee, Hyun-woo Lee
Issue Date
2018-12
Citation
ETRI Journal, v.40, no.6, pp.745-758
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.2018-0059
Abstract
A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.
KSP Keywords
Bibliographic data, Big-data, Co-occurrence, Context aware, Current status, Dynamic knowledge, Efficient Resource Allocation, Emerging technology, Growth Rate, IOT technologies, IoT Applications
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: