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Analysis of Technology Trends in Smart Port Technologies Using Topic Modeling and Generative Topographic Mapping

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(1), pp.171-183
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 1, 2024
  • Accepted : December 26, 2024
  • Published : January 31, 2025

Hee-Kyeong Nam 1 Jeong-Yoon Hong 1 Min-Su Woo 1 Go-Eun Han 1 Jae-Min Song 1 Yul-Kyeong Yun 1 In-Yeong Lee 1 Sung Won Cho 1

1단국대학교

Accredited

ABSTRACT

As the digitalization of the port industry accelerates, this study aims to identify core and vacant technologies related to smart ports using machine learning methods and propose development strategies for each technology. We applied TF-IDF (Term Frequency-Inverse Document Frequency) to patent data on smart port technologies to extract key terms. Using LDA (Latent Dirichlet Allocation) topic modeling, we identified core technologies such as container scanning systems, port simulation, smart containers, shipping scheduling algorithms, object detection for port security, remote control-based autonomous ships, and autonomous vehicles in ports. Furthermore, we generated a technology map using GTM (Generative Topographic Mapping), identifying autonomous vehicles in ports as a vacant technology.

Citation status

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